Tootfinder

Climate2Energy: a framework to consistently include climate change into energy system modeling
Jan Wohland, Luna Bloin-Wibe, Erich Fischer, Leonhard G\"oke, Reto Knutti, Francesco De Marco, Urs Beyerle, Jonas Savelsberg
https://arxiv.org/abs/2508.09531

Climate2Energy: a framework to consistently include climate change into energy system modeling
Supply and demand in future energy systems depend on the weather. We therefore need to quantify how climate change and variability impact energy systems. Here, we present Climate2Energy (C2E), a framework to consistently convert climate model outputs into energy system model inputs, covering all relevant types of renewable generation and demand for heating and cooling. C2E performs bias correction, uses established open-source tools where possible, and provides outputs tailored to energy system…

The AI boom is driving memory and storage shortages that may last a decade; OpenAI's Stargate has deals for 900K DRAM wafers per month, or ~40% of global output (Luke James/Tom's Hardware)
https://www.tomshardware.com/pc-components

AI data centers are swallowing the world's memory and storage supply, setting the stage for a pricing apocalypse that could last a decade
Once-cheap SSDs, DRAM, and HDD prices are climbing fast as AI demand and constrained supply converge to create the tightest market in years.

"""
[…] Paradoxically, the more a population grew, the more precious it became, as it offered a supply of cheap labour, and by lowering costs allowed a greater expansion of production and trade. In this infinitely open labour market, the ‘fundamental price’, which for Turgot meant a subsistence level for workers, and the price determined by supply and demand ended up as the same thing. A country was all the more commercially competitive for having at its disposal the virtual wealth that a large population represented.
Confinement was therefore a clumsy error, and an economic one at that: there was no sense in trying to suppress poverty by taking it out of the economic circuit and providing for a poor population by charitable means. To do that was merely to hide poverty, and suppress an important section of the population, which was always a given wealth. Rather than helping the poor escape their provisionally indigent situation, charity condemned them to it, and dangerously so, by putting a brake on the labour market in a period of crisis. What was required was to palliate the high cost of products with cheaper labour, and to make up for their scarcity by a new industrial and agricultural effort. The only reasonable remedy was to reinsert the population in the circuit of production, being sure to place labour in areas where manpower was most scarce. The use of paupers, vagabonds, exiles and émigrés of any description was one of the secrets of wealth in the competition between nations. […]
Confinement was to be criticised because of the effects it had on the labour market, but also because like all other traditional forms of charity, it constituted a dangerous form of finance. As had been the case in the Middle Ages, the classical era had constantly attempted to look after the needs of the poor by a system of foundations. This implied that a section of the land capital and revenues were out of circulation. In a definitive manner too, as the concern was to avoid the commercialisation of assistance to the poor, so judicial measures had been taken to ensure that this wealth never went back into circulation. But as time passed, their usefulness diminished: the economic situation changed, and so did the nature of poverty.
«Society does not always have the same needs. The nature and distribution of property, the divisions between the different orders of the people, opinions, customs, the occupations of the majority of the population, the climate itself, diseases and all the other accidents of human life are in constant change. New needs come into being, and old ones disappear.» [Turgot, Encyclopédie]
The definitive character of a foundation was in contradiction with the variable and changing nature of the accidental needs to which it was designed to respond. The wealth that it immobilised was never put back into circulation, but more wealth was to be created as new needs appeared. The result was that the proportion of funds and revenues removed from circulation constantly increased, while that of production fell in consequence. The only possible result was increased poverty, and a need for more foundations. The process could continue indefinitely, and the fear was that one day ‘the ever increasing number of foundations might absorb all private funds and all private property’. When closely examined, classical forms of assistance were a cause of poverty, bringing a progressive immobilisation that was like the slow death of productive wealth:
«If all the men who have ever lived had been given a tomb, sooner or later some of those sterile monuments would have been dug up in order to find land to cultivate, and it would have become necessary to stir the ashes of the dead in order to feed the living.» [Turgot, Lettre Š Trudaine sur le Limousin]
"""
(Michel Foucault, History of Madness)

PyPSA-DE: Open-source German energy system model reveals savings from integrated planning
Michael Lindner, Julian Geis, Toni Seibold, Tom Brown
https://arxiv.org/abs/2510.09414 …

PyPSA-DE: Open-source German energy system model reveals savings from integrated planning
Germany has set an ambitious target of reaching net zero greenhouse gas emissions by 2045. We explore how integrated cross-sectoral planning can reduce costs compared to existing national plans. Our new linear optimization model PyPSA-DE simulates the electricity and hydrogen transmission networks, as well as supply, demand, and storage in all sectors of the energy system in Germany and its neighboring countries with high spatial and temporal resolution. While our new model shows strong electri…

Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
Adithya Ramachandran, Thorkil Flensmark B. Neergaard, Tom\'as Arias-Vergara, Andreas Maier, Siming Bayer
https://arxiv.org/abs/2509.07515

Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
Advancements in smart metering technologies have significantly improved the ability to monitor and manage water utilities. In the context of increasing uncertainty due to climate change, securing water resources and supply has emerged as an urgent global issue with extensive socioeconomic ramifications. Hourly consumption data from end-users have yielded substantial insights for projecting demand across regions characterized by diverse consumption patterns. Nevertheless, the prediction of water…

Good Morning #Canada
Happy #Thanksgiving to all Canadians, but in particular to the volunteers and visitors at Canada’s 5,500 #FoodBanks. Thanksgiving serves as an important focal point for food drives in an effort to provide meals for those less fortunate, as well as create long-term awareness of the role that Food Banks fill. Canadians are visiting Food Banks at record levels, some 4M visits so far in 2025, and 47% of those have children at home. It's not too late to donate to your local Food Bank, but please also consider a cash donation in the future to help them fill in the gaps in supply from farmers, producers, and retailers.
#CanadaIsAwesome #FoodInsecurity
https://globalnews.ca/news/11474846/toronto-food-bank-demand-thanksgiving-food-insecurity/

Found a intresting site. It runs on a solar powered server. Sometimes it can go offline.
https://solar.lowtechmagazine.com/power/

Preparing for the worst: Long-term and short-term weather extremes in resource adequacy assessment
Aleksander Grochowicz, Hannah C. Bloomfield, Marta Victoria
https://arxiv.org/abs/2508.05163

Preparing for the worst: Long-term and short-term weather extremes in resource adequacy assessment
Security of supply is a common and important concern when integrating renewables in net-zero power systems. Extreme weather affects both demand and supply leading to power system stress; in Europe this stress spreads continentally beyond the meteorological root cause. We use an approach based on shadow prices to identify periods of elevated stress called system-defining events and analyse their impact on the power system. By classifying different types of system-defining events, we identify cha…

Social Welfare in Battery Charging Games
Simon Krogmann, Pascal Lenzner, Alexander Skopalik, Tobias Str\"aubig
https://arxiv.org/abs/2508.06320 https://

Social Welfare in Battery Charging Games
The recent rise of renewable energy produced by many decentralized sources yields interesting market design challenges for electrical grids. Balancing supply and demand in such networks is both a temporal and spatial challenge due to capacity constraints. The recent surge in the number of household-owned batteries, especially in regions with rooftop solar adoption, offers mitigation potential but often acts misaligned with grid-level objectives. In fact, the decision to charge or discharge a ho…

Leveraging LLM-Based Agents for Intelligent Supply Chain Planning
Yongzhi Qi, Jiaheng Yin, Jianshen Zhang, Dongyang Geng, Zhengyu Chen, Hao Hu, Wei Qi, Zuo-Jun Max Shen
https://arxiv.org/abs/2509.03811

Leveraging LLM-Based Agents for Intelligent Supply Chain Planning
In supply chain management, planning is a critical concept. The movement of physical products across different categories, from suppliers to warehouse management, to sales, and logistics transporting them to customers, entails the involvement of many entities. It covers various aspects such as demand forecasting, inventory management, sales operations, and replenishment. How to collect relevant data from an e-commerce platform's perspective, formulate long-term plans, and dynamically adjust the…

Directional Price Forecasting in the Continuous Intraday Market under Consideration of Neighboring Products and Limit Order Books
Timoth\'ee Hornek, Sergio Potenciano Menci, Ivan Pavi\'c
https://arxiv.org/abs/2509.04452

Directional Price Forecasting in the Continuous Intraday Market under Consideration of Neighboring Products and Limit Order Books
The increasing penetration of variable renewable energy and flexible demand technologies, such as electric vehicles and heat pumps, introduces significant uncertainty in power systems, resulting in greater imbalance; defined as the deviation between scheduled and actual supply or demand. Short-term power markets, such as the European continuous intraday market, play a critical role in mitigating these imbalances by enabling traders to adjust forecasts close to real time. Due to the high volatil…

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…

Estimating Real Demand Using a Flipped Queueing Model: A Case of Shared Micro-Mobility Services
Binyu Yang, Jinxiao Du, Junlin He, Shi An, Wei Ma
https://arxiv.org/abs/2510.07194

Estimating Real Demand Using a Flipped Queueing Model: A Case of Shared Micro-Mobility Services
The spatial-temporal imbalance between supply and demand in shared micro-mobility services often leads to observed demand being censored, resulting in incomplete records of the underlying real demand. This phenomenon undermines the reliability of the collected demand data and hampers downstream applications such as demand forecasting, fleet management, and micro-mobility planning. How to accurately estimate the real demand is challenging and has not been well explored in existing studies. In vi…

Data as Commodity: a Game-Theoretic Principle for Information Pricing
Pasquale Casaburi, Giovanni Piccioli, Pierpaolo Vivo
https://arxiv.org/abs/2510.07101 https://

Data as Commodity: a Game-Theoretic Principle for Information Pricing
Data is the central commodity of the digital economy. Unlike physical goods, it is non-rival, replicable at near-zero cost, and traded under heterogeneous licensing rules. These properties defy standard supply--demand theory and call for new pricing principles. We propose a game-theoretic approach in which the value of a data string emerges from strategic competition among N players betting on an underlying stochastic process, each holding partial information about past outcomes. A better-infor…

One of the many interesting pages in the Future Energy Scenarios 2025, published today by NESO (🇬🇧 National Energy System Operator).
It focuses on the why, how and what of demand side flexibility.
Key: reward consumers, build trust, automate and smart tariffs.
EV smart charging gateway to more residential flex.
#EV

How can a geothermal storage system be optimally integrated into a local district? A case study
Ueli Schilt, Somesh Vijayananda, Sarah Schneeberger, Manuel Meyer, Santhosh Iyyakkunnel, Pascal Marc Vecsei, Philipp Schuetz
https://arxiv.org/abs/2509.08568

How can a geothermal storage system be optimally integrated into a local district? A case study
Achieving net-zero targets requires the phase-out of fossil-based heating. A major challenge is the seasonal mismatch between renewable heat supply and demand. District heating networks often dispose of excess heat in summer and rely on fossil backups in winter. Large-scale thermal energy storage offers a solution by storing surplus summer heat for use during winter, thus reducing the need for fossil fuels. This study investigates the feasibility of a large-scale thermal storage system at a pow…

Daring project by my former colleague @…, in his spare time: compiling a European grid capacity (scarcity) map! https://www.gridcapacitymaps.eu/
Still …

Sam Altman signs a letter of intent with Samsung and SK Hynix to supply Stargate; Samsung and SK Hynix say demand from OpenAI could hit 900K wafers per month (Yoolim Lee/Bloomberg)
https://www.bloomberg.com/news/articles/2025-1…

Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long Way
Chido Onyeze, Sean R. Sinclair, Chamsi Hssaine, Siddhartha Banerjee
https://arxiv.org/abs/2508.21753

Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long Way
We study the trade-off between envy and inefficiency in repeated resource allocation settings with stochastic replenishments, motivated by real-world systems such as food banks and medical supply chains. Specifically, we consider a model in which a decision-maker faced with stochastic demand and resource donations must trade off between an equitable and efficient allocation of resources over an infinite horizon. The decision-maker has access to storage with fixed capacity $M$, and incurs effici…

REMIND-PyPSA-Eur: Integrating power system flexibility into sector-coupled energy transition pathways
Adrian Odenweller, Falko Ueckerdt, Johannes Hampp, Ivan Ramirez, Felix Schreyer, Robin Hasse, Jarusch Muessel, Chen Chris Gong, Robert Pietzcker, Tom Brown, Gunnar Luderer
https://arxiv.org/abs/2510.04388

REMIND-PyPSA-Eur: Integrating power system flexibility into sector-coupled energy transition pathways
The rapid expansion of low-cost renewable electricity combined with end-use electrification in transport, industry, and buildings offers a promising path to deep decarbonisation. However, aligning variable supply with demand requires strategies for daily and seasonal balancing. Existing models either lack the wide scope required for long-term transition pathways or the spatio-temporal detail to capture power system variability and flexibility. Here, we combine the complementary strengths of REM…

Identifying high-impact consumers' behavioural changes for flexibility and demand reduction in a net-zero energy system
Parisa Rahdan, Mirko Sch\"afer, Ana Bel\'en Crist\'obal L\'opez, Marta Victoria
https://arxiv.org/abs/2508.04414

Identifying high-impact consumers' behavioural changes for flexibility and demand reduction in a net-zero energy system
Achieving decarbonization across energy sectors requires demand-side transformation such as behavioural changes and end-use efficiency improvements to complement supply-side technological shifts. However, changing consumption patterns is challenging, and implementing efficiency measures requires time and investment, highlighting the need to prioritize strategies. We address this prioritization using a high-resolution model of the European energy system under net-zero emissions, assessing the sy…

JobPulse: A Big Data Approach to Real-Time Engineering Workforce Analysis and National Industrial Policy
Karen S. Markel, Mihir Tale, Andrea Belz
https://arxiv.org/abs/2508.11014

JobPulse: A Big Data Approach to Real-Time Engineering Workforce Analysis and National Industrial Policy
Employment on a societal scale contributes heavily to national and global affairs; consequently, job openings and unemployment estimates provide important information to financial markets and governments alike. However, such reports often describe only the supply (employee job seeker) side of the job market, and skill mismatches are poorly understood. Job postings aggregated on recruiting platforms illuminate marketplace demand, but to date have primarily focused on candidate skills described i…

Integrating Upstream Supply Chains into Generation Expansion Planning
Boyu Yao, Andrey Bernstein, Yury Dvorkin
https://arxiv.org/abs/2508.03001 https://arx…

Integrating Upstream Supply Chains into Generation Expansion Planning
Rising electricity demand underscores the need for secure and reliable generation expansion planning that accounts for upstream supply chain constraints. Traditional models often overlook limitations in materials, manufacturing capacity, lead times for deployment, and field availability, which can delay availability of planned resources and thus to threaten system reliability. This paper introduces a multi-stage supply chain-constrained generation expansion planning (SC-GEP) model that optimize…

A Wide-Input 0.25 um BCD LDO with Dual-Stage Amplifier and Active Ripple Cancellation for High PSRR and Fast Transient Response
Yi Zhang, Zhuolong Chen, Zhenghao Xu, Yujin He
https://arxiv.org/abs/2507.20522

A Wide-Input 0.25 um BCD LDO with Dual-Stage Amplifier and Active Ripple Cancellation for High PSRR and Fast Transient Response
Demand for on-chip low-dropout regulators (LDOs) with both high power-supply rejection ratio (PSRR) and fast transient response is growing as system-on-chip (SoC) integration increases. However, conventional LDO architectures face difficulty achieving these performance metrics simultaneously over wide input voltage ranges. This paper presents a wide-input linear regulator implemented in 0.25 um BCD technology that attains high PSRR and swift load-transient performance while maintaining low quie…

A Simulation-Based Conceptual Model for Tokenized Recycling: Integrating Blockchain, Market Dynamics, and Behavioral Economics
Atta Ul Mustafa
https://arxiv.org/abs/2507.19901 h…

A Simulation-Based Conceptual Model for Tokenized Recycling: Integrating Blockchain, Market Dynamics, and Behavioral Economics
This study develops a conceptual simulation model for a tokenized recycling incentive system that integrates blockchain infrastructure, market-driven pricing, behavioral economics, and carbon credit mechanisms. The model aims to address the limitations of traditional recycling systems, which often rely on static government subsidies and fail to generate sustained public participation. By introducing dynamic token values linked to real-world supply and demand conditions, as well as incorporating…

Adaptive Inventory Strategies using Deep Reinforcement Learning for Dynamic Agri-Food Supply Chains
Amandeep Kaur, Gyan Prakash
https://arxiv.org/abs/2507.16670

Adaptive Inventory Strategies using Deep Reinforcement Learning for Dynamic Agri-Food Supply Chains
Agricultural products are often subject to seasonal fluctuations in production and demand. Predicting and managing inventory levels in response to these variations can be challenging, leading to either excess inventory or stockouts. Additionally, the coordination among stakeholders at various level of food supply chain is not considered in the existing body of literature. To bridge these research gaps, this study focuses on inventory management of agri-food products under demand and lead time u…

Great work by Maarten Staats to make all available grid hosting capacity maps in Europe accessible via one website. What started with the simple question: why doesn't this exist yet is now here via the bookmarkable URL https://www.gridcapacitymaps.eu

European Grid Capacity Maps
Interactive Open Access tool showcasing European electricity grid capacity resources with supply maps, demand maps, and simplified view for energy transition professionals.

Small Fleet, Big Impact: Enhancing Shared Micromobility Efficiency through Minimal Autonomous Vehicle Deployment
Heng Tan, Hua Yan, Lucas Yang, Yu Yang
https://arxiv.org/abs/2510.04271

Small Fleet, Big Impact: Enhancing Shared Micromobility Efficiency through Minimal Autonomous Vehicle Deployment
Shared micromobility systems, such as electric scooters and bikes, have gained widespread popularity as sustainable alternatives to traditional transportation modes. However, these systems face persistent challenges due to spatio-temporal demand fluctuations, often resulting in a mismatch between vehicle supply and user demand. Existing shared micromobility vehicle scheduling methods typically redistribute vehicles once or twice per day, which makes them vulnerable to performance degradation un…

A Lightweight Incentive-Based Privacy-Preserving Smart Metering Protocol for Value-Added Services
Farid Zaredar, Morteza Amini
https://arxiv.org/abs/2508.14703 https://

A Lightweight Incentive-Based Privacy-Preserving Smart Metering Protocol for Value-Added Services
The emergence of smart grids and advanced metering infrastructure (AMI) has revolutionized energy management. Unlike traditional power grids, smart grids benefit from two-way communication through AMI, which surpasses earlier automated meter reading (AMR). AMI enables diverse demand- and supply-side utilities such as accurate billing, outage detection, real-time grid control, load forecasting, and value-added services. Smart meters play a key role by delivering consumption values at predefined …

Cost allocations in interval inventory situations: the SOC and Shapley approaches
J. C. Gon\c{c}alves-Dosantos, A. Meca, I. Ozcan
https://arxiv.org/abs/2507.21603 https://

Cost allocations in interval inventory situations: the SOC and Shapley approaches
Uncertainty in demand and supply conditions poses critical challenges to effective inventory management, especially in collaborative environments. Traditional inventory models, such as those based on the Economic Order Quantity (EOQ), often rely on fixed parameters and deterministic assumptions, limiting their ability to capture the complexity of real-world scenarios. This paper focuses on interval inventory situations, an extension of classical models in which demand is represented as interval…

Power Reserve Capacity from Virtual Power Plants with Reliability and Cost Guarantees
Lorenzo Zapparoli, Blazhe Gjorgiev, Giovanni Sansavini
https://arxiv.org/abs/2510.04815 htt…

Power Reserve Capacity from Virtual Power Plants with Reliability and Cost Guarantees
The growing penetration of renewable energy sources is expected to drive higher demand for power reserve ancillary services (AS). One solution is to increase the supply by integrating distributed energy resources (DERs) into the AS market through virtual power plants (VPPs). Several methods have been developed to assess the potential of VPPs to provide services. However, the existing approaches fail to account for AS products' requirements (reliability and technical specifications) and to provi…

Validation of a Reynolds-averaged numerical simulation environment to simulate high-pressure, auto-igniting hydrogen diffusion flames
N. Diepstraten, L. M. T. Somers, J. A. van Oijen
https://arxiv.org/abs/2509.18841

When Do Consumers Lose from Variable Electricity Pricing?
Nathan Engelman Lado, Richard Chen, Saurabh Amin
https://arxiv.org/abs/2509.01499 https://arxiv.o…

When Do Consumers Lose from Variable Electricity Pricing?
Time-varying electricity pricing better reflects the varying cost of electricity compared to flat-rate pricing. Variations between peak and off-peak costs are increasing due to weather variation, renewable intermittency, and increasing electrification of demand. Empirical and theoretical studies suggest that variable pricing can lower electricity supply costs and reduce grid stress. However, the distributional impacts, particularly on low-income consumers, remain understudied. This paper develo…

Exploring the potential resource integration under passenger-freight shared mobility: collaborative optimization of multi-type bus scheduling and dynamic vehicle capacity allocation for urban-rural bus routes
Jiabin Wu, Zijian Huang, Linhong Wang, Yiming Bie, Yuting Ji, Jun Gong
https://arxiv.org/abs/2509.20017

Exploring the potential resource integration under passenger-freight shared mobility: collaborative optimization of multi-type bus scheduling and dynamic vehicle capacity allocation for urban-rural bus routes
Under the global background of developing urban-rural travel patterns, traditional urban-rural public transport systems are generally faced with the serious challenges of passenger loss and operating deficit, leading to a reduction in the bus frequency and service reliability. In order to break the vicious circle of demand decline-supply shrinkage, passenger-freight shared mobility (PFSM), an innovative operation mode, can achieve synergies between urban-rural logistics and public transport ser…

Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network
Xi Yang, Jiachen Wang, Song Han, Suining He
https://arxiv.org/abs/2507.16020

Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network
Efficient use of urban micromobility resources such as bike sharing is challenging due to the unbalanced station-level demand and supply, which causes the maintenance of the bike sharing systems painstaking. Prior efforts have been made on accurate prediction of bike traffics, i.e., demand/pick-up and return/drop-off, to achieve system efficiency. However, bike station-level traffic prediction is difficult because of the spatial-temporal complexity of bike sharing systems. Moreover, such level …

Changes in varieties of capitalism within the OECD between 2010 and 2020
Zoltan Bartha
https://arxiv.org/abs/2509.19416 https://arxiv.org/pdf/2509.19416

Changes in varieties of capitalism within the OECD between 2010 and 2020
This study aims to reveal different varieties of capitalism and to uncover new patterns of development that emerged between 2010 and 2020. A hybrid model is applied that quantifies three pillars of development (Future - F, Outside - O, Inside - I) using supply-side and demand-side indicators that measure norms, institutions, and policies. Investigating 34 OECD members, this study describes five varieties of capitalism: traditional, dualistic, government-led, open market-based, and human capital…

Dynamic access pricing control for fair and stable resource sharing
Chris King, Homayoun Hamedmoghadam, Christos Cassandras, Fabian Wirth, Robert Shorten
https://arxiv.org/abs/2507.17939

Dynamic access pricing control for fair and stable resource sharing
In this paper we consider the use of pricing as a regulatory mechanism when an unknown number of autonomous agents compete for access to a scarce shared resource. In standard dynamic pricing systems, an increasing price is used to balance supply and demand for a resource in a constrained environment. A major drawback of dynamic pricing is that it is socially regressive as such systems favour price-insensitive traffic (inelastic) and control the demand at the expense of price-sensitive traffic (…

Resource-Splitting Games with Tullock-Based Lossy Contests
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
https://arxiv.org/abs/2507.13853 https://…

Resource-Splitting Games with Tullock-Based Lossy Contests
This paper introduces a novel class of multi-stage resource allocation games that model real-world scenarios in which profitability depends on the balance between supply and demand, and where higher resource investment leads to greater returns. Our proposed framework, which incorporates the notion of profit loss due to insufficient player participation, gives rise to a Tullock-like functional form of the stage payoff structure when weighted fair proportional resource allocation is applied. We e…

Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
Seyed Soroush Karimi Madahi, Kenneth Bruninx, Bert Claessens, Chris Develder
https://arxiv.org/abs/2510.04868

Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
In Europe, profit-seeking balance responsible parties can deviate in real time from their day-ahead nominations to assist transmission system operators in maintaining the supply-demand balance. Model predictive control (MPC) strategies to exploit these implicit balancing strategies capture arbitrage opportunities, but fail to accurately capture the price-formation process in the European imbalance markets and face high computational costs. Model-free reinforcement learning (RL) methods are fast…

"For the approximate one-third of households across these countries without driveways, the running costs of an EV remain a major barrier to widespread adoption.
Dynamic pricing, where electricity prices vary based on supply and demand, presents an opportunity to allow households to access cheaper electricity when renewables are abundant."
#EV

Grid-Edge Energy-Flexible Technologies: A Comparative Analysis Across Generators, Loads, and Energy Storage Systems
Jesus Silva-Rodriguez, Tianxia Zhao, Ran Mo, Xingpeng Li
https://arxiv.org/abs/2508.14297

Grid-Edge Energy-Flexible Technologies: A Comparative Analysis Across Generators, Loads, and Energy Storage Systems
This review analysis presents a comprehensive exploration of energy flexibility in modern power systems. It examines the roles and mechanisms of flexible technologies across three main categories: generators, energy storage systems (ESS), and loads. Energy flexibility is defined as the ability to dynamically adjust supply and/or demand in response to grid conditions to maintain balance and stability. This is of particular importance to facilitate the integration of the growing variable renewabl…

Bidding strategies for energy storage players in 100% renewable electricity market: A game-theoretical approach
Arega Getaneh Abate, Salim Hassi, Dogan Keles, Xiufeng Liu, Xiao-Bing Zhang
https://arxiv.org/abs/2509.26568

Bidding strategies for energy storage players in 100% renewable electricity market: A game-theoretical approach
The transition to electricity systems powered entirely by renewable energy sources makes energy storage indispensable for balancing intermittency and ensuring reliability. Since RES operate at near-zero marginal cost, storage operators can strongly influence electricity prices and energy security when renewable supply alone cannot meet demand. We develop a Cournot competition model in which storage operators strategically bid quantities to maximize their profits. We propose a MILP model with th…

Virtual Trading in Multi-Settlement Electricity Markets
Agostino Capponi, Garud Iyengar, Bo Yang, Daniel Bienstock
https://arxiv.org/abs/2508.11979 https://

Virtual Trading in Multi-Settlement Electricity Markets
In the Day-Ahead (DA) market, suppliers sell and load-serving entities (LSEs) purchase energy commitments, with both sides adjusting for imbalances between contracted and actual deliveries in the Real-Time (RT) market. We develop a supply function equilibrium model to study how virtual trading-speculating on DA-RT price spreads without physical delivery-affects market efficiency. Without virtual trading, LSEs underbid relative to actual demand in the DA market, pushing DA prices below expected …

Techno-Economic Planning of Spatially-Resolved Battery Storage Systems in Renewable-Dominant Grids Under Weather Variability
Seyed Ehsan Ahmadi, Elnaz Kabir, Mohammad Fattahi, Mousa Marzband, Dongjun Li
https://arxiv.org/abs/2508.12526

Techno-Economic Planning of Spatially-Resolved Battery Storage Systems in Renewable-Dominant Grids Under Weather Variability
The ongoing energy transition is significantly increasing the share of renewable energy sources (RES) in power systems; however, their intermittency and variability pose substantial challenges, including load shedding and system congestion. This study examines the role of the battery storage system (BSS) in mitigating these challenges by balancing power supply and demand. We optimize the location, size, and type of batteries using a two-stage stochastic program, with the second stage involving …

Replaced article(s) found for stat.AP. https://arxiv.org/list/stat.AP/new
[1/1]:
- Copyright and Competition: Estimating Supply and Demand with Unstructured Data
Sukjin Han, Kyungho Lee