Tootfinder

On Office Comfort and Energy Efficiency - Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars -

On Office Comfort and Energy Efficiency
Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars

On Office Comfort and Energy Efficiency - Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars -

On Office Comfort and Energy Efficiency
Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
Adhitya Bhawiyuga, Serkan Girgin, Rolf A. de By, Raul Zurita-Milla
https://arxiv.org/abs/2510.02882

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
Earth observation (EO) data volumes are rapidly increasing. While cloud computing are now used for processing large EO datasets, the energy efficiency aspects of such a processing have received much less attention. This issue is notable given the increasing awareness of energy costs and carbon footprint in big data processing, particularly with increased attention on compute-intensive foundation models. In this paper we identify gaps in energy efficiency practices within cloud-based EO big data…

SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba
Yulong Huang, Jianxiong Tang, Chao Wang, Ziyi Wang, Jianguo Zhang, Zhichao Lu, Bojun Cheng, Luziwei Leng
https://arxiv.org/abs/2510.04595

SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba
Large Language Models (LLMs) have achieved remarkable performance across tasks but remain energy-intensive due to dense matrix operations. Spiking neural networks (SNNs) improve energy efficiency by replacing dense matrix multiplications with sparse accumulations. Their sparse spike activity enables efficient LLMs deployment on edge devices. However, prior SNN-based LLMs often sacrifice performance for efficiency, and recovering accuracy typically requires full pretraining, which is costly and …

On the energy efficiency of sparse matrix computations on multi-GPU clusters
Massimo Bernaschi, Alessandro Celestini, Pasqua D'Ambra, Giorgio Richelli
https://arxiv.org/abs/2510.02878

On the energy efficiency of sparse matrix computations on multi-GPU clusters
We investigate the energy efficiency of a library designed for parallel computations with sparse matrices. The library leverages high-performance, energy-efficient Graphics Processing Unit (GPU) accelerators to enable large-scale scientific applications. Our primary development objective was to maximize parallel performance and scalability in solving sparse linear systems whose dimensions far exceed the memory capacity of a single node. To this end, we devised methods that expose a high degree …

An active Transverse Energy Filter based on microstructured Si-PIN diodes with an angular-selective detection efficiency
S. Schneidewind, K. Gauda, K. Bl\"umer, D. Bonaventura, C. G\"onner, V. Hannen, H. -W. Ortjohann, W. Pernice, L. P\"ollitsch, R. W. J. Salomon, M. Stappers, S. Wein, C. Weinheimer
https://arxiv.org/abs/251…

An active Transverse Energy Filter based on microstructured Si-PIN diodes with an angular-selective detection efficiency
Si-PIN detectors can be microstructured to achieve angular-selective particle detection capabilities, which we call active Transverse Energy Filter (aTEF). The microstructuring consists of a honeycomb structure of deep hexagonally-shaped holes with active silicon side walls, while the bottom of the holes is made insensitive to ionizing radiation. The motivation for this kind of detector arises from the need to distinguish background electrons from signal electrons in a spectrometer of MAC-E fil…

An efficient grey theory-driven path selection for energy efficiency control in the Internet of Things using fog and cloud computing
Mohammad Reza Akbari, Hamid Barati, Ali Barati
https://arxiv.org/abs/2510.03533

An efficient grey theory-driven path selection for energy efficiency control in the Internet of Things using fog and cloud computing
Due to the big data exchange on the Internet of Things, proper routing and selecting the best routes for fast data transmission improve network performance. There are major challenges, like high delay, when cloud computing is used. Therefore, one solution is to use other schemes, such as fog computing. In fog computing, all data is not sent to the cloud and the fog nodes close to objects are used for data processing. This reduces the network delay. In this paper, we propose an overlapping clust…

Cooling Under Convexity: An Inventory Control Perspective on Industrial Refrigeration
Vade Shah, Yohan John, Ethan Freifeld, Lily Y. Chen, Jason R. Marden
https://arxiv.org/abs/2510.03448

Cooling Under Convexity: An Inventory Control Perspective on Industrial Refrigeration
Industrial refrigeration systems have substantial energy needs, but optimizing their operation remains challenging due to the tension between minimizing energy costs and meeting strict cooling requirements. Load shifting--strategic overcooling in anticipation of future demands--offers substantial efficiency gains. This work seeks to rigorously quantify these potential savings through the derivation of optimal load shifting policies. Our first contribution establishes a novel connection between …

"UK energy companies could fund home efficiency upgrades until late 2026"
#UK #UnitedKingdom #Energy

I had 12 weeks of parental leave for each of my children. (Six of those were paid by my company, and 6 by Washington State. In the US, this might come across as bragging but functional countries will be shocked at how little it is.) My partner fed them, because we had the privilege of being able to breast feed, so I took care of diapers, tummy time, and what other things I could.
I learned about elimination communication (EC). We used cloth diapers, for ecological reasons but also because they can help with potty training later. With EC, it was relatively easy. I actually only had to change dirty diapers a few times. I was available, so I could pay attention to our babies. I could learn their body language. Both of them rarely cried because we knew what they needed before they had to cry about it.
When I was forced back to work, the EC thing fell off. We continued to use cloth diapers for a while with our oldest, but it became too hard with our youngest. We had to switch to disposable diapers because of the overhead.
There have been so many wasteful things we've done because we don't have space to do the right thing. Having kids is both isolating and overwhelming. To maintain sanity, you just have to take short cuts when you don't have time or help.
Before kids, we used to really enjoy cooking together. We would start from basic ingredients and work our way up. We made pad thai, squishing tamarind paste from pods by hand. Even after having kids, my oldest and I would collect acorns from the tree down the street and crack them together. The other day we all cracked acorns we had collected for the first time since moving over here (and I made some Dotori-muk. We've also started making bread together again.
Kids really love making and processing food. There's a sensory element to it, which, if you don't have kids, is actually a really big thing kids need. But there's also a social element to making food together. They just behave better when we do things like that. It's almost like there's some kind of evolutionary incentive for kids to *want* to help. Go figure.
I've really been wanting to make seitan as we try to reduce how much meat we eat in our house. Even that meat consumption is partially about convenience. It's relatively cheap and easy to throw a bag of chicken wings in air fryer, or some ground beef in with pearl couscous in the instant pot, and just have low effort food home made food. My partner is vegan. I used to eat mostly vegan at home and only eat meat on occasion, usually eating out. But it just takes more mental energy to cook without meat. It's an easy protein, and our kids are picky.
These threads, and a few others, all connect back to a single thing. When we can slow down, we can be more careful and thoughtful. We can be mindful. We can make decisions that are better for the environment, that account for climate change. When we are under pressure, when we are tired and overworked, it's just harder or impossible to be careful and mindful... and that's exactly the point.
At a time when the survival of our species depends on our ability to slow down and be mindful, we are more stressed and overwhelmed than ever. Because, if we had a chance to slow down and think, if we could make good choices, we would make choices that would destroy the industries at the core of the global order. To slow down, as we did at the beginning of COVID, is catastrophic for "the economy." Of course it is.
When an industry runs out of room to expand by driving efficiency, it must increase demand. If demand is already fulfilled, it must create waste. The more pressure there is on the population, the worse decisions people make, the more they waste. Waste is the point. We are in an existential conflict. If we do not destroy this system, if we cannot simply slow down and think, we will be destroyed by it.
I think about the microplastics from those diapers, the methane from them rotting (not captured in the municipal biogas digester, but released directly into the environment), the little plastic containers of everything, all the opportunity costs of the carelessness inflicted on us to survive, and I wonder, "is any of this really worth my time in the office? Did I really produce so much more value doing my work than when destroyed in order to allow me to work?" Of course not, because the invisible hand, in it's infinite wisdom, has shuffled away that cost. The cost of our family thrashing is borne by society, we are a burden on everyone, while the value of my labor is internalized to the company.
How much of your "carbon footprint" should belong to your employer? There can be no capitalist solution to the climate crisis because capitalism is the crisis.
#ClimateCrisis

From high-frequency sensors to noon reports: Using transfer learning for shaft power prediction in maritime
Akriti Sharma, Dogan Altan, Dusica Marijan, Arnbj{\o}rn Maressa
https://arxiv.org/abs/2510.03003

From high-frequency sensors to noon reports: Using transfer learning for shaft power prediction in maritime
With the growth of global maritime transportation, energy optimization has become crucial for reducing costs and ensuring operational efficiency. Shaft power is the mechanical power transmitted from the engine to the shaft and directly impacts fuel consumption, making its accurate prediction a paramount step in optimizing vessel performance. Power consumption is highly correlated with ship parameters such as speed and shaft rotation per minute, as well as weather and sea conditions. Frequent ac…

Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
Rabiya Khalid, Evangelos Pournaras
https://arxiv.org/abs/2510.04192 https://

Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
The growing electricity demand and increased use of smart appliances are placing new pressures on power grids, making efficient energy management more important than ever. The existing energy management systems often prioritize system efficiency (balanced energy demand and supply) at the expense of user comfort. This paper addresses this gap by proposing a novel decentralized multi-agent coordination-based demand-side management system. The proposed system enables individual agents to coordinat…

Banking to Green - Becoming an Energy Efficiency Nerd (2017) - Learn how I got from Lehman Brothers investment banking IT to solar PV and storage bothering, 10 years in... #lifeStory #optimisation -

Banking to Green - Becoming an Energy Efficiency Nerd (2017)
Learn how I got from Lehman Brothers investment banking IT to solar PV and storage bothering, 10 years in... #lifeStory #optimisation

ARENA: A tool for measuring and analysing the energy efficiency of Android apps
Hina Anwar
https://arxiv.org/abs/2510.01754 https://arxiv.org/pdf/2510.0175…

ARENA: A tool for measuring and analysing the energy efficiency of Android apps
To build energy-efficient apps, there is a need to estimate and analyze their energy consumption in typical usage scenarios. The energy consumption of Android apps could be estimated via software-based and hardware-based approaches. Software-based approaches, while easier to implement, are not as accurate as hardware-based approaches. The process of measuring the energy consumption of an Android app via a hardware-based approach typically involves 1) setting up a measurement environment, 2) exe…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/2]:
- Understanding User Perception and Intention to Use Smart Homes for Energy Efficiency: A Survey
Alona Zharova, Hee-Eun Lee

TREE:Token-Responsive Energy Efficiency Framework For Green AI-Integrated 6G Networks
Tao Yu, Kaixuan Huang, Tengsheng Wang, Jihong Li, Shunqing Zhang, Shuangfeng Han, Xiaoyun Wang, Qunsong Zeng, Kaibin Huang, Vincent K. N. Lau
https://arxiv.org/abs/2509.02250

TREE:Token-Responsive Energy Efficiency Framework For Green AI-Integrated 6G Networks
As wireless networks evolve toward AI-integrated intelligence, conventional energy-efficiency metrics fail to capture the value of AI tasks. In this paper, we propose a novel EE metric called Token-Responsive Energy Efficiency (TREE), which incorporates the token throughput of large models as network utility carriers into the system utility. Based on this metric, we analyze the design principles of AI-integrated 6G networks from the perspective of three critical AI elements, namely computing po…

A Resource-Driven Approach for Implementing CNNs on FPGAs Using Adaptive IPs
Philippe Magalh\~aes (LabHC), Virginie Fresse (LabHC), Beno\^it Suffran (LabHC), Olivier Alata (LabHC)
https://arxiv.org/abs/2510.02990

A Resource-Driven Approach for Implementing CNNs on FPGAs Using Adaptive IPs
The increasing demand for real-time, low-latency artificial intelligence applications has propelled the use of Field-Programmable Gate Arrays (FPGAs) for Convolutional Neural Network (CNN) implementations. FPGAs offer reconfigurability, energy efficiency, and performance advantages over GPUs, making them suitable for edge devices and embedded systems. This work presents a novel library of resource-efficient convolution IPs designed to automatically adapt to the available FPGA resources. Develop…

Low-energy single-electron detector with sub-micron resolution
Luis Alfredo Ixquiac M\'endez, Martino Zanetti, Tilman Kraeft, Thomas Juffmann
https://arxiv.org/abs/2510.04743

Low-energy single-electron detector with sub-micron resolution
Single-electron detectors are a key component of electron microscopes and advanced electron optics experiments. We present a YAG:Ce scintillator-based single-electron detector with a spatial resolution of 1 micrometer at an electron energy of 17 keV. Single-electron detection events are identified with an efficiency and purity larger than 0.8 at an electron energy of 17 keV, reaching 0.96 at 30 keV. We show that the detector enables electron diffraction studies with a sample-detector distance c…

⛽ Yale Scientists Crack the Code on Turning Plastic Waste Into Fuel
https://oilprice.com/Energy/Energy-General/Yale-Scientists-Crack-the-Code-on-Turning-Plastic-Waste-Into-Fuel.html

Yale Scientists Crack the Code on Turning Plastic Waste Into Fuel
Yale scientists have developed a catalyst-free, energy-efficient pyrolysis reactor that converts plastic waste into usable fuel with unprecedented efficiency.

Hybrid magnonic spintronic system for tunable broadband signal filtering and microwave generation
A. Koujok, A. Hamadeh, L. Martins, F. Kohl, B. Heinz, U. Ebels, P. Pirro
https://arxiv.org/abs/2510.04976

Hybrid magnonic spintronic system for tunable broadband signal filtering and microwave generation
Non-conventional beyond-the-state-of-the-art signal processing schemes require parallelism, scalability, robustness and energy efficiency to meet the demands of complex data-driven applications. With further research, magnonic and spintronic circuits can potentially help to fulfill these requirements. We present an experimental proof-of-concept of a hybrid device that can employ broad deteriorated microwave signals to excite and detect low energy propagating spin waves (SWs). For this, we use t…

Replaced article(s) found for cs.PL. https://arxiv.org/list/cs.PL/new
[1/1]:
- It's Not Easy Being Green: On the Energy Efficiency of Programming Languages
Nicolas van Kempen, Hyuk-Je Kwon, Dung Tuan Nguyen, Emery D. Berger

The Role of Spiral Arms in Galaxies II: Similarities Amid Diversity
Bingqing Sun, Daniela Calzetti, Andrew J. Battisti
https://arxiv.org/abs/2510.04328 https://

The Role of Spiral Arms in Galaxies II: Similarities Amid Diversity
The role of spiral arms in galaxies -- whether they enhance star formation efficiency or primarily act as material gatherers -- remains an open question. Observational studies have yielded ambiguous results, in part due to the choice of star formation rate (SFR) tracers and their inherent limitations. These limitations are addressed here by applying multi-wavelength spectral energy distribution (SED) fitting to individual arm and interarm regions. We expand on our previous study of two galaxies…

Luxembourg energy supplier Enovos provides a nice visual demonstration of the effect of time-of-use pricing:
Peak time consumption is reduced by 40%, while valley consumption increases by 60%, absorbing that abundant solar energy on the 🇱🇺-🇩🇪 grid.
https://www.e…

Crosslisted article(s) found for cs.MS. https://arxiv.org/list/cs.MS/new
[1/1]:
- On the energy efficiency of sparse matrix computations on multi-GPU clusters
Massimo Bernaschi, Alessandro Celestini, Pasqua D'Ambra, Giorgio Richelli

Datacenter Energy Optimized Power Profiles
Sreedhar Narayanaswamy, Pratikkumar Dilipkumar Patel, Ian Karlin, Apoorv Gupta, Sudhir Saripalli, Janey Guo
https://arxiv.org/abs/2510.03872

Datacenter Energy Optimized Power Profiles
This paper presents datacenter power profiles, a new NVIDIA software feature released with Blackwell B200, aimed at improving energy efficiency and/or performance. The initial feature provides coarse-grain user control for HPC and AI workloads leveraging hardware and software innovations for intelligent power management and domain knowledge of HPC and AI workloads. The resulting workload-aware optimization recipes maximize computational throughput while operating within strict facility power co…

Next-Generation Sustainable Wireless Systems: Energy Efficiency Meets Environmental Impact
Christo Kurisummoottil Thomas, Omar Hashash, Kimia Ehsani, Walid Saad
https://arxiv.org/abs/2509.02395

Next-Generation Sustainable Wireless Systems: Energy Efficiency Meets Environmental Impact
Aligning with the global mandates pushing towards advanced technologies with reduced resource consumption and environmental impacts, the sustainability of wireless networks becomes a significant concern in 6G systems. To address this concern, a native integration of sustainability into the operations of next-generation networks through novel designs and metrics is necessary. Nevertheless, existing wireless sustainability efforts remain limited to energy-efficient network designs which fail to c…

Replaced article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- It's Not Easy Being Green: On the Energy Efficiency of Programming Languages
Nicolas van Kempen, Hyuk-Je Kwon, Dung Tuan Nguyen, Emery D. Berger

Benchmarking Deep Learning Convolutions on Energy-constrained CPUs
Enrique Galvez (ALSOC), Adrien Cassagne (ALSOC), Alix Munier (ALSOC), Manuel Bouyer
https://arxiv.org/abs/2509.26217

Benchmarking Deep Learning Convolutions on Energy-constrained CPUs
This work evaluates state-of-the-art convolution algorithms for CPU-based deep learning inference. While most prior studies focus on GPUs or NPUs, CPU implementations remain relatively underoptimized. We benchmark direct, GEMM-based, and Winograd convolutions across modern CPUs from ARM __ , Intel __ , AMD __ , Apple __ , and Nvidia __ , considering both latency and energy efficiency. Our results highlight the key architectural factors that govern CPU efficiency for convolution operations, prov…

World breaks renewable records - adding 582 GW of capacity in 2024 - but must move faster to hit the agreed 2030 tripling goal.
From @irena-official.bsky.social:
https://www.irena.org/News/pressreleases/2

World Breaks Renewable Records but Must Move Faster to Hit 2030 Tripling Goal
The world is falling behind on its renewable energy and efficiency goals despite record progress last year, confirms a new report released today by the International Renewable Energy Agency (IRENA), the COP30 Brazilian Presidency, and the Global Renewables Alliance (GRA) during a pre-COP30 high-level event in Brasília.

On Office Comfort and Energy Efficiency - Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars -

On Office Comfort and Energy Efficiency
Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars

Hierarchically structured, high-efficiency and thermally robust perovskite solar cells with band-engineered double-hole layers
Md. Faiaad Rahman, Arpan Sur, Ahmed Zubair
https://arxiv.org/abs/2509.03146

Hierarchically structured, high-efficiency and thermally robust perovskite solar cells with band-engineered double-hole layers
Despite the promising optoelectronic properties of methylammonium lead iodide (MAPbI3)-based perovskite solar cells (PSCs), their commercial viability is hindered by interfacial energy misalignment, suboptimal light absorption, and thermal instability. Here, we present a comprehensive theoretical framework to enhance the power conversion efficiency (PCE) of MAPbI3 based PSC through integrated electronic and morphological engineering. Firstly, to address interfacial recombination and inefficient…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

Energy Efficiency of Hydrocarbon Isomer Separation via Levi-Blow Mechanism: Benchmarking Against Conventional Methods
Shubhadeep Nag, Yashonath Subramanian
https://arxiv.org/abs/2509.01078

Energy Efficiency of Hydrocarbon Isomer Separation via Levi-Blow Mechanism: Benchmarking Against Conventional Methods
Separation of hydrocarbon isomers with closely matched physicochemical properties remains an energetically demanding challenge in the petrochemical refineries. This study presents a comparative analysis of three methods: the fractional distillation, the Molex process, and the Levi-Blow (LB) technique. Using experimentally validated thermodynamic data and heat-transfer estimates, we quantify the energy expenditure and number of cycles required to achieve ultrahigh-purity separation. The LB metho…

Anybody happen to know the effective thermal power of a standard gasoline pump?
Like, X gallons per minute * Y joules per gallon of gas = Z kW of potential energy delivered to the vehicle
(this would then have to be scaled by motor efficiency to be a realistic comparison to EVs/EV chargers in terms of, e.g. miles of range delivered per minute of fueling/charging)

Efficient heat-energy conversion from a non-thermal Tomonaga-Luttinger liquid
Hikaru Yamazaki, Masashi Uemura, Haruhi Tanaka, Tokuro Hata, Chaojing Lin, Takafumi Akiho, Koji Muraki, Toshimasa Fujisawa
https://arxiv.org/abs/2509.26387

Efficient heat-energy conversion from a non-thermal Tomonaga-Luttinger liquid
Energy harvesting is a technique that generates useful work from waste heat. Conventional energy harvesters acting on local thermal equilibrium states are constrained by thermodynamic limits, such as the Carnot efficiency. Quantum heat engines with non-thermal reservoirs are expected to exceed such limits. Here, we demonstrate energy harvesting from a nonthermal Tomonaga-Luttinger (TL) liquid in quantum Hall edge channels, where the non-thermal state is naturally formed due to the absence of th…

JaneEye: A 12-nm 2K-FPS 18.9-$\mu$J/Frame Event-based Eye Tracking Accelerator
Tao Han, Ang Li, Qinyu Chen, Chang Gao
https://arxiv.org/abs/2510.01213 https://

JaneEye: A 12-nm 2K-FPS 18.9-$μ$J/Frame Event-based Eye Tracking Accelerator
Eye tracking has become a key technology for gaze-based interactions in Extended Reality (XR). However, conventional frame-based eye-tracking systems often fall short of XR's stringent requirements for high accuracy, low latency, and energy efficiency. Event cameras present a compelling alternative, offering ultra-high temporal resolution and low power consumption. In this paper, we present JaneEye, an energy-efficient event-based eye-tracking hardware accelerator designed specifically for wear…

The Constant Speed Schedule for Adiabatic State Preparation: Towards Quadratic Speedup without Prior Spectral Knowledge
Mancheon Han, Hyowon Park, Sangkook Choi
https://arxiv.org/abs/2510.01923

The Constant Speed Schedule for Adiabatic State Preparation: Towards Quadratic Speedup without Prior Spectral Knowledge
The efficiency of adiabatic quantum evolution is governed by the adiabatic evolution time, \(T\), which depends on the minimum energy gap, \(Δ\). For a generic schedule, \(T\) typically scales as \(Δ^{-2}\), whereas the rigorous lower bound is \(\mathcal{O}(Δ^{-1})\). This indicates the potential for a quadratic speedup through the adiabatic schedule construction. Here, we introduce the constant speed schedule, which traverses the adiabatic path of the eigenstate at a uniform rate. We first …

Runtime Energy Monitoring for RISC-V Soft-Cores
Alberto Scionti, Paolo Savio, Francesco Lubrano, Olivier Terzo, Marco Ferretti, Florin Apopei, Juri Bellucci, Ennio Spano, Luca Carriere
https://arxiv.org/abs/2509.26065

Runtime Energy Monitoring for RISC-V Soft-Cores
Energy efficiency is one of the major concern in designing advanced computing infrastructures. From single nodes to large-scale systems (data centers), monitoring the energy consumption of the computing system when applications run is a critical task. Designers and application developers often rely on software tools and detailed architectural models to extract meaningful information and determine the system energy consumption. However, when a design space exploration is required, designers may …

Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
https://arxiv.org/abs/2509.20241

Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
As AI inference scales to billions of queries and emerging reasoning and agentic workflows increase token demand, reliable estimates of per-query energy use are increasingly important for capacity planning, emissions accounting, and efficiency prioritization. Many public estimates are inconsistent and overstate energy use, because they extrapolate from limited benchmarks and fail to reflect efficiency gains achievable at scale. In this perspective, we introduce a bottom-up methodology to estima…

Comparing energy consumption and accuracy in text classification inference
Johannes Zschache, Tilman Hartwig
https://arxiv.org/abs/2508.14170 https://arxiv…

Comparing energy consumption and accuracy in text classification inference
The increasing deployment of large language models (LLMs) in natural language processing (NLP) tasks raises concerns about energy efficiency and sustainability. While prior research has largely focused on energy consumption during model training, the inference phase has received comparatively less attention. This study systematically evaluates the trade-offs between model accuracy and energy consumption in text classification inference across various model architectures and hardware configurati…

One-DoF Robotic Design of Overconstrained Limbs with Energy-Efficient, Self-Collision-Free Motion
Yuping Gu, Bangchao Huang, Haoran Sun, Ronghan Xu, Jiayi Yin, Wei Zhang, Fang Wan, Jia Pan, Chaoyang Song
https://arxiv.org/abs/2509.22002

One-DoF Robotic Design of Overconstrained Limbs with Energy-Efficient, Self-Collision-Free Motion
While it is expected to build robotic limbs with multiple degrees of freedom (DoF) inspired by nature, a single DoF design remains fundamental, providing benefits that include, but are not limited to, simplicity, robustness, cost-effectiveness, and efficiency. Mechanisms, especially those with multiple links and revolute joints connected in closed loops, play an enabling factor in introducing motion diversity for 1-DoF systems, which are usually constrained by self-collision during a full-cycle…

On Office Comfort and Energy Efficiency - Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars -

On Office Comfort and Energy Efficiency
Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars

Electrification is still marginal in the Netherlands. Dutch electricity consumption in the first half of 2025 was almost exactly the same as a decade ago, in the first half of 2015 ( 0.3%).
Efficiency gains compensated for the modest shares of electric cars and heat pumps that did enter the scene.
Source:

Meer elektriciteit uit fossiele bronnen
Nederland produceerde in het eerste halfjaar van 2025 64 miljard kWh elektriciteit. Dit is 7 procent meer dan in het eerste halfjaar van 2024. Met name de productie uit fossiele bronnen steeg, vooral uit kolen. De productie uit hernieuwbare bronnen was lager, vooral uit windenergie. De productie uit zonne-energie piekte in het tweede kwartaal. Het verbruik van elektriciteit bleef gelijk. Dit meldt het Centraal Bureau voor de Statistiek (CBS) op basis van voorlopige cijfers.

A Novel IaaS Tax Model as Leverage Towards Green Cloud Computing
Benedikt Pittl, Werner Mach, Erich Schikuta
https://arxiv.org/abs/2509.02767 https://arxiv…

A Novel IaaS Tax Model as Leverage Towards Green Cloud Computing
The cloud computing technology uses datacenters, which require energy. Recent trends show that the required energy for these datacenters will rise over time, or at least remain constant. Hence, the scientific community developed different algorithms, architectures, and approaches for improving the energy efficiency of cloud datacenters, which are summarized under the umbrella term Green Cloud computing. In this paper, we use an economic approach - taxes - for reducing the energy consumption of …

Dynamic Low Power Traffic Pattern for Energy Constrained Wireless Sensor Networks
Almamoon Alauthman
https://arxiv.org/abs/2510.00588 https://arxiv.org/pdf…

Dynamic Low Power Traffic Pattern for Energy Constrained Wireless Sensor Networks
Wireless Sensor Networks (WSNs) are extensively utilized in critical applications, including remote monitoring, target tracking, healthcare systems, industrial automation, and smart control in both residential and industrial settings. One of the primary challenges in these systems is maintaining energy efficiency, given that most sensor nodes rely on limited battery resources. To tackle this problem, this study introduces an energy-saving strategy designed for tree-structured networks with dyna…

Surface Stability Modeling with Universal Machine Learning Interatomic Potentials: A Comprehensive Cleavage Energy Benchmarking Study
Ardavan Mehdizadeh, Peter Schindler
https://arxiv.org/abs/2508.21663

Surface Stability Modeling with Universal Machine Learning Interatomic Potentials: A Comprehensive Cleavage Energy Benchmarking Study
Machine learning interatomic potentials (MLIPs) have revolutionized computational materials science by bridging the gap between quantum mechanical accuracy and classical simulation efficiency, enabling unprecedented exploration of materials properties across the periodic table. Despite their remarkable success in predicting bulk properties, no systematic evaluation has assessed how well these universal MLIPs (uMLIPs) can predict cleavage energies, a critical property governing fracture, catalys…

Finite-Time Thermodynamics Perspective into Nuclear Power Plant Heat Cycle
Fang-Ming Cui, Hui Dong
https://arxiv.org/abs/2509.25714 https://arxiv.org/pdf/2…

Finite-Time Thermodynamics Perspective into Nuclear Power Plant Heat Cycle
Nuclear power plants are prominent examples of heat-to-work conversion systems, and optimizing their thermodynamic performance offers significant potential for enhancing energy efficiency. With a development history of less than a century, optimization trends in nuclear power plants indicate that classical thermodynamics alone may be insufficient, particularly when maximizing output power rather than efficiency becomes the primary focus. This paper re-examines nuclear power plant thermodynamic …

On Google's New Backup-and-Sync, and G-Drive: Reviews (2017) - An efficient and simple backup scheme that works for me, that does not carry a big price tag nor carbon footprint. - https://www.earth.org.uk/note-on-backup-energy-efficiency.html

On Googles New Backup-and-Sync, and G-Drive: Reviews (2017)
An efficient and simple backup scheme that works for me, that does not carry a big price tag nor carbon footprint.

SpikeMatch: Semi-Supervised Learning with Temporal Dynamics of Spiking Neural Networks
Jini Yang, Beomseok Oh, Seungryong Kim, Sunok Kim
https://arxiv.org/abs/2509.22581 https:/…

SpikeMatch: Semi-Supervised Learning with Temporal Dynamics of Spiking Neural Networks
Spiking neural networks (SNNs) have recently been attracting significant attention for their biological plausibility and energy efficiency, but semi-supervised learning (SSL) methods for SNN-based models remain underexplored compared to those for artificial neural networks (ANNs). In this paper, we introduce SpikeMatch, the first SSL framework for SNNs that leverages the temporal dynamics through the leakage factor of SNNs for diverse pseudo-labeling within a co-training framework. By utilizing…

Join climate activists in the US for Sun Day, a national day of action celebrating solar power and energy efficiency growth. #climatechange #climatesolutions #climate

‘Sun Day’: Climate Activists To Rally For Clean Energy Amid Trump Attacks
"Some 450 events are planned across the US this Sunday to celebrate growth of solar power and energy efficiency"

Teaching students from both fields, linguistics and engineering—separately, no shared courses—I witness two kinds of growing resistance towards the use of #GenAI:
- low quality output needs too much effort to fix manually
- low quality output is not worth the high amounts of energy it costs
Future linguists argue with efficiency, future engineers with resources. Ethics comes muc…

ENLighten: Lighten the Transformer, Enable Efficient Optical Acceleration
Hanqing Zhu, Zhican Zhou, Shupeng Ning, Xuhao Wu, Ray Chen, Yating Wan, David Pan
https://arxiv.org/abs/2510.01673

ENLighten: Lighten the Transformer, Enable Efficient Optical Acceleration
Photonic computing has emerged as a promising substrate for accelerating the dense linear-algebra operations at the heart of AI, yet adoption for large Transformer models remains in its infancy. We identify two bottlenecks: (1) costly electro--optic conversions and data-movement overheads that erode energy efficiency as model sizes scale; (2) a mismatch between limited on-chip photonic resources and Transformer scale, which forces frequent reuse of photonic tensor cores and dilutes throughput g…

Why and when merging surface nanobubbles jump
Yixin Zhang, Xiangyu Zhang, Detlef Lohse
https://arxiv.org/abs/2509.22934 https://arxiv.org/pdf/2509.22934

Why and when merging surface nanobubbles jump
Gas bubble accumulation on substrates reduces the efficiency of many physicochemical processes, such as water electrolysis. For microbubbles, where buoyancy is negligible, coalescence-induced jumping driven by the release of surface energy provides an efficient pathway for their early detachment. At the nanoscale, however, gas compressibility breaks volume conservation during coalescence, suppressing surface energy release and seemingly disabling this detachment route. Using molecular dynamics …

Penrose Process Efficiency and Irreducible Mass in Rotating Einstein-Born-Infeld Black Holes with Nonlinear Electrodynamics
Urooj Fatima, G. Abbas
https://arxiv.org/abs/2509.19390

Penrose Process Efficiency and Irreducible Mass in Rotating Einstein-Born-Infeld Black Holes with Nonlinear Electrodynamics
We investigate the extraction of rotational energy from rotating Einstein-Born-Infeld (EBI) black holes, where nonlinear electrodynamics introduces a radius-dependent effective charge modifying the spacetime geometry. Focusing on neutral test particles in the equatorial plane, we derive analytic expressions for their kinematics and establish conditions for negative energy orbits essential to the Penrose process using the near-horizon limit and Wald inequality. We present a closed-form expressio…

Energy-Efficient Movable Antennas: Mechanical Power Modeling and Performance Optimization
Xin Wei, Weidong Mei, Xuan Huang, Zhi Chen, Boyu Ning
https://arxiv.org/abs/2509.24433 …

Energy-Efficient Movable Antennas: Mechanical Power Modeling and Performance Optimization
Movable antennas (MAs) offer additional spatial degrees of freedom (DoFs) to enhance communication performance through local antenna movement. However, to achieve accurate and fast antenna movement, MA drivers entail non-negligible mechanical power consumption, rendering energy efficiency (EE) optimization more critical compared to conventional fixed-position antenna (FPA) systems. To address this issue, we develop a fundamental power consumption model for stepper motor-driven multi-MA systems …

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

400-Gbps/$\lambda$ Ultrafast Silicon Microring Modulator for Scalable Optical Compute Interconnects
Fangchen Hu, Fengxin Yu, Xingyu Liu, Aoxue Wang, Xiao Hu, Haiwen Cai, Wei Chu
https://arxiv.org/abs/2509.01555

400-Gbps/$λ$ Ultrafast Silicon Microring Modulator for Scalable Optical Compute Interconnects
The exponential growth of artificial intelligence (AI) workloads is driving an urgent demand for optical interconnects with ultrahigh bandwidth, energy efficiency, and scalability. Silicon photonics, with its CMOS compatibility and wafer-scale manufacturability, has emerged as a promising platform for optical interconnect architectures. Silicon microring modulators (MRMs), with their compact footprint, low power consumption, and high modulation efficiency, have become ideal devices for modulati…

🌡️ Solar breakthrough—hotter panels mean better storage
#energy

Solar breakthrough—hotter panels mean better storage
Scientists have uncovered a surprising advantage in next-generation solar technology—the hotter it gets, the better it can store energy. Traditionally, heat has been seen as the enemy of solar power. Standard solar panels lose efficiency as temperatures rise.

Excitonic Energy Transfer in Red Algal Photosystem I Reveals an Evolutionary Bridge between Cyanobacteria and Plants
Mengyuan Cui, Zihui Liu, Miriam Izzo, Junhua Zhou, Enhu He, Vandana Tiwari, Petar H. Lambrev, R. J. Dwayne Miller, Joanna Kargu, Fulu Zheng, Ajay Jha, Hong-GuangDuan
https://arxiv.org/abs/2509.24271

Excitonic Energy Transfer in Red Algal Photosystem I Reveals an Evolutionary Bridge between Cyanobacteria and Plants
Photosystem I converts light into chemical energy with near-unity quantum efficiency,yet its energy-transfer and charge-separation mechanisms remain debated. Evolution has diversified PSI architectures. The unicellular red algae Cyanidioschyzon merolae represents a key evolutionary intermediate,featuring a cyanobacterial-like monomeric core surrounded by three to five LHCR subunits. This hybrid organization provides a unique system to bridge mechanistic models across lineages. We applied two-di…

Interesting, battery integrated into a heat pump system, so that energy can be stored and shifted when needed. An integrated system instead of two separate ones may also offer advantages in terms of efficiency.
https://www.corporate.carrier.com/news/new

Carrier Powering the Future of Energy

Embodied Intelligence for Sustainable Flight: A Soaring Robot with Active Morphological Control
Ghadeer Elmkaiel, Syn Schmitt, Michael Muehlebach
https://arxiv.org/abs/2508.19684

Embodied Intelligence for Sustainable Flight: A Soaring Robot with Active Morphological Control
Achieving both agile maneuverability and high energy efficiency in aerial robots, particularly in dynamic wind environments, remains challenging. Conventional thruster-powered systems offer agility but suffer from high energy consumption, while fixed-wing designs are efficient but lack hovering and maneuvering capabilities. We present Floaty, a shape-changing robot that overcomes these limitations by passively soaring, harnessing wind energy through intelligent morphological control inspired by…

Benchmarking Energy Efficiency of Large Language Models Using vLLM
K. Pronk, Q. Zhao
https://arxiv.org/abs/2509.08867 https://arxiv.org/pdf/2509.08867

Benchmarking Energy Efficiency of Large Language Models Using vLLM
The prevalence of Large Language Models (LLMs) is having an growing impact on the climate due to the substantial energy required for their deployment and use. To create awareness for developers who are implementing LLMs in their products, there is a strong need to collect more information about the energy efficiency of LLMs. While existing research has evaluated the energy efficiency of various models, these benchmarks often fall short of representing realistic production scenarios. In this pap…

A Framework for Energy Management Modelling in Hubs for Circularity
Tobias L{\o}vebakke Nielsen, Daniela Guericke, Alessio Trivella, Devrim Murat Yazan
https://arxiv.org/abs/2508.19765

A Framework for Energy Management Modelling in Hubs for Circularity
The concept Hubs for Circularity (H4C) represents integrated systems that combine efficient use of clean energy and circular economy to enhance resource efficiency within a region. H4C benefit from the geographical proximity of different industries within industrial zones and the surrounding urban and rural areas, allowing them to share resources, technology, and infrastructure. They reduce the use of virgin resources through Industrial Symbiosis (IS), where one company uses waste of another co…

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Ozan Baris Mulayim, Elias N. Pergantis, Levi D. Reyes Premer, Bingqing Chen, Guannan Qu, Kevin J. Kircher, Mario Berg\'es
https://arxiv.org/abs/2510.01475

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Advanced control strategies like Model Predictive Control (MPC) offer significant energy savings for HVAC systems but often require substantial engineering effort, limiting scalability. Reinforcement Learning (RL) promises greater automation and adaptability, yet its practical application in real-world residential settings remains largely undemonstrated, facing challenges related to safety, interpretability, and sample efficiency. To investigate these practical issues, we performed a direct com…

Tri-Hybrid Beamforming for Radiation-Center Reconfigurable Antenna Array: Spectral Efficiency and Energy Efficiency
Yinchen Li, Chenhao Qi, Shiwen Mao, Octavia A. Dobre
https://arxiv.org/abs/2508.15924

Tri-Hybrid Beamforming for Radiation-Center Reconfigurable Antenna Array: Spectral Efficiency and Energy Efficiency
In this paper, we propose a tri-hybrid beamforming (THBF) architecture based on the radiation-center (RC) reconfigurable antenna array (RCRAA), including the digital beamforming, analog beamforming, and electromagnetic (EM) beamforming, where the EM beamformer design is modeled as RC selection. Aiming at spectral efficiency (SE) maximization subject to the hardware and power consumption constraints, we propose a tri-loop alternating optimization (TLAO) scheme for the THBF design, where the digi…

Pretraining Large Language Models with NVFP4
NVIDIA, Felix Abecassis, Anjulie Agrusa, Dong Ahn, Jonah Alben, Stefania Alborghetti, Michael Andersch, Sivakumar Arayandi, Alexis Bjorlin, Aaron Blakeman, Evan Briones, Ian Buck, Bryan Catanzaro, Jinhang Choi, Mike Chrzanowski, Eric Chung, Victor Cui, Steve Dai, Bita Darvish Rouhani, Carlo del Mundo, Deena Donia, Burc Eryilmaz, Henry Estela, Abhinav Goel, Oleg Goncharov, Yugi Guvvala, Robert Hesse, Russell Hewett, Herbert Hum, Ujval Kapasi,…

Pretraining Large Language Models with NVFP4
Large Language Models (LLMs) today are powerful problem solvers across many domains, and they continue to get stronger as they scale in model size, training set size, and training set quality, as shown by extensive research and experimentation across the industry. Training a frontier model today requires on the order of tens to hundreds of yottaflops, which is a massive investment of time, compute, and energy. Improving pretraining efficiency is therefore essential to enable the next generation…

Breakdown of the Kirchhoff's law of thermal radiation by a spatiotemporally modulated nonreciprocal metasurface
Anatoly Efimov, Chun-Chieh Chang, Simo Pajovic, Wilton J. M. Kort-Kamp, Dongsung Kim, Hou-Tong Chen, Diego A. R. Dalvit, Abul K. Azad
https://arxiv.org/abs/2509.00463

Breakdown of the Kirchhoff's law of thermal radiation by a spatiotemporally modulated nonreciprocal metasurface
Kirchhoff's law of thermal radiation, which dictates that the emissivity of a surface equals its absorptivity under thermal equilibrium, which dictates that the emissivity of a surface equals its absorptivity under thermal equilibrium, fundamentally limits the efficiency of photonic systems by enforcing reciprocal energy exchange between source and detector. Breaking this reciprocity is particularly important for advancing photonic devices for energy conversion, radiative cooling, and mid-infra…

Performance Evaluation of LoRa for IoT Applications in Non-Terrestrial Networks via ns-3
Alessandro Traspadini, Michele Zorzi, Marco Giordani
https://arxiv.org/abs/2509.02811 ht…

Performance Evaluation of LoRa for IoT Applications in Non-Terrestrial Networks via ns-3
The integration of Internet of Things (IoT) and Non-Terrestrial Networks (NTNs) has emerged as a key paradigm to provide connectivity for sensors and actuators via satellite gateways in remote areas where terrestrial infrastructure is limited or unavailable. Among other Low-Power Wide-Area Network (LPWAN) technologies for IoT, Long Range (LoRa) holds great potential given its long range, energy efficiency, and flexibility. In this paper, we explore the feasibility and performance of LoRa to sup…

On Office Comfort and Energy Efficiency - Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars -

On Office Comfort and Energy Efficiency
Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars

Multi-objective Evolutionary Algorithms (MOEAs) in PMEDM - A Comparative Study in Pareto Frontier
Mohsen Asghari Ilani, Yaser Mike Banad
https://arxiv.org/abs/2509.01775 https:/…

Multi-objective Evolutionary Algorithms (MOEAs) in PMEDM - A Comparative Study in Pareto Frontier
Electrical discharge machining (EDM) is a crucial process in precision manufacturing, leveraging electro-thermal energy to remove material without electrode contact. In this study, we delve into the realm of Machine Learning (ML) to enhance the efficiency and precision of EDM, particularly focusing on Powder-Mixed Electrical Discharge Machining (PMEDM) with the integration of a vibration system. We comprehensively evaluate four leading ML models - Deep Neural Network (DNN), Extreme Gradient Boo…

Membrane-Electrode Assemblies for Electrochemical Reduction of CO2 to Ethylene: Design for Minimal Energy Consumption
Tugrul Y. Ertugrul, Woong Choi, Adam Z. Weber, Alexis T. Bell
https://arxiv.org/abs/2509.01771

Membrane-Electrode Assemblies for Electrochemical Reduction of CO2 to Ethylene: Design for Minimal Energy Consumption
Membrane-electrode-assembly (MEA) cells with copper (Cu) cathodes show strong potential for electrochemical CO2 reduction to ethylene (C2H4), but achieving high C2H4 selectivity remains a challenge due to competing hydrogen evolution. This selectivity is highly sensitive to the local microenvironment near the Cu catalyst surface. In this study, a 1-D, multiphysics continuum model is utilized to investigate how MEA cell performance and faradaic efficiency (FE) to C2H4 are affected by both compon…

Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators
Wenyong Zhou, Zhengwu Liu, Yuan Ren, Ngai Wong
https://arxiv.org/abs/2508.21524 https://…

Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators
Compute-in-memory (CIM) accelerators have emerged as a promising way for enhancing the energy efficiency of convolutional neural networks (CNNs). Deploying CNNs on CIM platforms generally requires quantization of network weights and activations to meet hardware constraints. However, existing approaches either prioritize hardware efficiency with binary weight and activation quantization at the cost of accuracy, or utilize multi-bit weights and activations for greater accuracy but limited efficie…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

Radiative and Jet Signatures of Regular Black Holes in Quantum-Corrected Gravity
Chirantana Bhattacharjee, Subhadip Sau, Avijit Mukherjee
https://arxiv.org/abs/2509.26366 https:…

Radiative and Jet Signatures of Regular Black Holes in Quantum-Corrected Gravity
We investigate regular rotating black holes predicted by asymptotically safe gravity, where the Newton constant varies with energy scale and modifies the near horizon geometry. These solutions remain asymptotically flat and avoid central singularities while differing from the classical Kerr spacetime in the strong field region. We compute the radiative efficiency of thin accretion disks and the jet power from the Blandford Znajek mechanism, both of which depend on the deformation parameter of t…

Energy Efficiency in Robotics Software: A Systematic Literature Review (2020-2024)
Aryan Gupta
https://arxiv.org/abs/2508.12170 https://arxiv.org/pdf/2508.…

Energy Efficiency in Robotics Software: A Systematic Literature Review (2020-2024)
This study presents a systematic literature review of software-level approaches to energy efficiency in robotics published from 2020 through 2024, updating and extending pre-2020 evidence. An automated-but-audited pipeline combined Google Scholar seeding, backward/forward snowballing, and large-language-model (LLM) assistance for screening and data extraction, with ~10% human audits at each automated step and consensus-with-tie-breaks for full-text decisions. The final corpus comprises 79 peer-…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

On Office Comfort and Energy Efficiency - Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars -

On Office Comfort and Energy Efficiency
Sweating or shivering 9 to 5 at work? Small business or home office? Get comfy, save money, cut carbon! #office #frugal #thermostatWars

RE: https://mastodon.social/@oekoinstitut/115451013755148750
An interesting approach to sharing carbon costs in Germany to split the costs between tenants, who cannot decide on energy efficiency measures, and landlords, who can. The cost split is dete…

Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks
Jason Gardner, Ayan Dutta, Swapnoneel Roy, O. Patrick Kreidl, Ladislau Boloni
https://arxiv.org/abs/2509.05273

Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks
The growing computational demands of deep reinforcement learning (DRL) have raised concerns about the environmental and economic costs of training large-scale models. While algorithmic efficiency in terms of learning performance has been extensively studied, the energy requirements, greenhouse gas emissions, and monetary costs of DRL algorithms remain largely unexplored. In this work, we present a systematic benchmarking study of the energy consumption of seven state-of-the-art DRL algorithms, …

Enhancing Energy and Spectral Efficiency in IoT-Cellular Networks via Active SIM-Equipped LEO Satellites
Rahman Saadat Yeganeh, Hamid Behroozi, Mohammad Javad Omidi, Mohammad Robat Mili, Eduard A. Jorswieck, Symeon Chatzinotas
https://arxiv.org/abs/2508.17149

Enhancing Energy and Spectral Efficiency in IoT-Cellular Networks via Active SIM-Equipped LEO Satellites
This paper investigates a low Earth orbit (LEO) satellite communication system enhanced by an active stacked intelligent metasurface (ASIM), mounted on the backplate of the satellite solar panels to efficiently utilize limited onboard space and reduce the main satellite power amplifier requirements. The system serves multiple ground users via rate-splitting multiple access (RSMA) and IoT devices through a symbiotic radio network. Multi-layer sequential processing in the ASIM improves effective …

Agentic AI for Low-Altitude Semantic Wireless Networks: An Energy Efficient Design
Zhouxiang Zhao, Ran Yi, Yihan Cang, Boyang Jin, Zhaohui Yang, Mingzhe Chen, Chongwen Huang, Zhaoyang Zhang
https://arxiv.org/abs/2509.19791

Agentic AI for Low-Altitude Semantic Wireless Networks: An Energy Efficient Design
This letter addresses the energy efficiency issue in unmanned aerial vehicle (UAV)-assisted autonomous systems. We propose a framework for an agentic artificial intelligence (AI)-powered low-altitude semantic wireless network, that intelligently orchestrates a sense-communicate-decide-control workflow. A system-wide energy consumption minimization problem is formulated to enhance mission endurance. This problem holistically optimizes key operational variables, including UAV's location, semantic…

Towards Intelligent Battery Management via A Five-Tier Digital Twin Framework
Tianwen Zhu, Hao Wang, Zhiwei Cao, Jiarong Xi, Yonggang Wen
https://arxiv.org/abs/2509.02366 https:…

Towards Intelligent Battery Management via A Five-Tier Digital Twin Framework
Battery management systems (BMSs) are critical to ensuring safety, efficiency, and longevity across electronics, transportation, and energy storage. However, with the rapid growth of lithium-ion batteries, conventional reactive BMS approaches face limitations in health prediction and advanced maintenance management, resulting in increased safety risks and economic costs. To address these challenges, we propose a five-tier digital twin framework for intelligent battery management. The framework …

Multistage Robust Optimization for Time-Decoupled Power Flexibility Aggregation with Energy Storage
Rui Xie, Yue Chen
https://arxiv.org/abs/2508.14477 https://

Multistage Robust Optimization for Time-Decoupled Power Flexibility Aggregation with Energy Storage
To mitigate global climate change, distributed energy resources (DERs), such as distributed generators, flexible loads, and energy storage systems (ESSs), have witnessed rapid growth in power distribution systems. When properly managed, these DERs can provide significant flexibility to power systems, enhancing both reliability and economic efficiency. Due to their relatively small scale, DERs are typically managed by the distribution system operator (DSO), who interacts with the transmission sy…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

TaiBai: A fully programmable brain-inspired processor with topology-aware efficiency
Qianpeng Li, Yu Song, Xin Liu, Wenna Song, Boshi Zhao, Zhichao Wang, Aoxin Chen, Tielin Zhang, Liang Chen
https://arxiv.org/abs/2508.18961

TaiBai: A fully programmable brain-inspired processor with topology-aware efficiency
Brain-inspired computing has emerged as a promising paradigm to overcome the energy-efficiency limitations of conventional intelligent systems by emulating the brain's partitioned architecture and event-driven sparse computation. However, existing brain-inspired chips often suffer from rigid network topology constraints and limited neuronal programmability, hindering their adaptability. To address these challenges, we present TaiBai, an event-driven, programmable many-core brain-inspired proces…

Energy-Efficient Path Planning with Multi-Location Object Pickup for Mobile Robots on Uneven Terrain
Faiza Babakano, Ahmed Fahmin, Bojie Shen, Muhammad Aamir Cheema, Isma Farah Siddiqui
https://arxiv.org/abs/2509.06061

Energy-Efficient Path Planning with Multi-Location Object Pickup for Mobile Robots on Uneven Terrain
Autonomous Mobile Robots (AMRs) operate on battery power, making energy efficiency a critical consideration, particularly in outdoor environments where terrain variations affect energy consumption. While prior research has primarily focused on computing energy-efficient paths from a source to a destination, these approaches often overlook practical scenarios where a robot needs to pick up an object en route - an action that can significantly impact energy consumption due to changes in payload. …

Energy Efficiency Optimization for Movable Antenna-Aided Communication Systems
Jingze Ding, Zijian Zhou, Yuping Zhao, Bingli Jiao
https://arxiv.org/abs/2508.05033 https://

Energy Efficiency Optimization for Movable Antenna-Aided Communication Systems
This paper investigates the energy efficiency optimization for movable antenna (MA) systems by considering the time delay and energy consumption introduced by MA movement. We first derive the upper bound on energy efficiency for a single-user downlink communication system, where the user is equipped with a single MA. Then, the energy efficiency maximization problem is formulated to optimize the MA position, and an efficient algorithm based on successive convex approximation is proposed to solve…

GLo-MAPPO: A Multi-Agent Proximal Policy Optimization for Energy Efficiency in UAV-Assisted LoRa Networks
Abdullahi Isa Ahmed, Jamal Bentahar, El Mehdi Amhoud
https://arxiv.org/abs/2509.17676

GLo-MAPPO: A Multi-Agent Proximal Policy Optimization for Energy Efficiency in UAV-Assisted LoRa Networks
Long Range (LoRa) based low-power wide area networks (LPWANs) are crucial for enabling next-generation IoT (NG-IoT) applications in 5G/6G ecosystems due to their long-range, low-power, and low-cost characteristics. However, achieving high energy efficiency in such networks remains a critical challenge, particularly in large-scale or dynamically changing environments. Traditional terrestrial LoRa deployments often suffer from coverage gaps and non-line-of-sight (NLoS) propagation losses, while s…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

Adaptive Dead-Zone Dual Sliding Mode Observer for Reliable Electrochemical Model-Based SOC Estimation
Guangdi Hu, Keyi Liao, Jian Ye, Feng Guo
https://arxiv.org/abs/2508.21610 h…

Adaptive Dead-Zone Dual Sliding Mode Observer for Reliable Electrochemical Model-Based SOC Estimation
Accurate state of charge (SOC) estimation is critical for ensuring the safety, reliability, and efficiency of lithium-ion batteries in electric vehicles and energy storage systems. Electrochemical models provide high fidelity for SOC estimation but introduce challenges due to parameter variations, nonlinearities, and computational complexity. To address these issues, this paper proposes an adaptive dead-zone dual sliding mode observer(SMO) based on an improved electrochemical single-particle mo…

Metadata-Guided Adaptable Frequency Scaling across Heterogeneous Applications and Devices
Jinqi Yan, Fang He, Qianlong Sang, Bifeng Tong, Peng Sun, Yili Gong, Chuang Hu, Dazhao Cheng
https://arxiv.org/abs/2509.22707

Metadata-Guided Adaptable Frequency Scaling across Heterogeneous Applications and Devices
Dynamic Voltage and Frequency Scaling is essential for enhancing energy efficiency in mobile platforms. However, traditional heuristic-based governors are increasingly inadequate for managing the complexity of heterogeneous System-on-Chip designs and diverse application workloads. Although reinforcement learning approaches offer improved performance, their poor generalization capability and reliance on extensive retraining for each hardware and application combination leads to significant deplo…

SCE-NTT: A Hardware Accelerator for Number Theoretic Transform Using Superconductor Electronics
Sasan Razmkhah, Mingye Li, Zeming Cheng, Robert S. Aviles, Kyle Jackman, Joey Delport, Lieze Schindler, Wenhui Luo, Takuya Suzuki, Mehdi Kamal, Christopher L. Ayala, Coenrad J. Fourie, Nabuyuki Yoshikawa, Peter A. Beerel, Sandeep Gupta, Massoud Pedram
https://…

SCE-NTT: A Hardware Accelerator for Number Theoretic Transform Using Superconductor Electronics
This research explores the use of superconductor electronics (SCE) for accelerating fully homomorphic encryption (FHE), focusing on the Number-Theoretic Transform (NTT), a key computational bottleneck in FHE schemes. We present SCE-NTT, a dedicated hardware accelerator based on superconductive single flux quantum (SFQ) logic and memory, targeting high performance and energy efficiency beyond the limits of conventional CMOS. To address SFQ constraints such as limited dense RAM and restricted fan…

Energy Efficiency Maximization for Movable Antenna-Enhanced MIMO Downlink System Based on S-CSI
Xintai Chen, Biqian Feng, Yongpeng Wu, Xiang-Gen Xia, Chengshan Xiao
https://arxiv.org/abs/2509.12036

Energy Efficiency Maximization for Movable Antenna-Enhanced MIMO Downlink System Based on S-CSI
This paper presents an innovative movable antenna (MA)-enhanced multi-user multiple-input multiple-output (MIMO) downlink system. We aim to maximize the energy efficiency (EE) under statistical channel state information (S-CSI) through a joint optimization of the precoding matrix and the antenna position vectors (APVs). To solve the resulting stochastic problem, we first resort to deterministic equivalent (DE) tecnology to formulate the deterministic minorizing function of the system EE and the…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

Maximising Energy Efficiency in Large-Scale Open RAN: Hybrid xApps and Digital Twin Integration
Ahmed Al-Tahmeesschi, Yi Chu, Gurdeep Singh, Charles Turyagyenda, Dritan Kaleshi, David Grace, Hamed Ahmadi
https://arxiv.org/abs/2509.10097

Maximising Energy Efficiency in Large-Scale Open RAN: Hybrid xApps and Digital Twin Integration
The growing demand for high-speed, ultra-reliable, and low-latency communications in 5G and beyond networks has significantly driven up power consumption, particularly within the Radio Access Network (RAN). This surge in energy demand poses critical operational and sustainability challenges for mobile network operators, necessitating innovative solutions that enhance energy efficiency without compromising Quality of Service (QoS). Open Radio Access Network (O-RAN), spearheaded by the O-RAN Alli…

Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems
Huy T. Nguyen, Van-Dinh Nguyen, Nhan Thanh Nguyen, Nguyen Cong Luong, Vo-Nguyen Quoc Bao, Hien Quoc Ngo, Dusit Niyato, Symeon Chatzinotas
https://arxiv.org/abs/2509.10290

Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems
This paper explores the energy efficiency (EE) of integrated sensing and communication (ISAC) systems employing massive multiple-input multiple-output (mMIMO) techniques to leverage spatial beamforming gains for both communication and sensing. We focus on an mMIMO-ISAC system operating in an orthogonal frequency-division multiplexing setting with a uniform planar array, zero-forcing downlink transmission, and mono-static radar sensing to exploit multi-carrier channel diversity. By deriving clos…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…