Tootfinder

£13.2bn fund to fix draughty homes and install heat pumps and solar panels.
Nothing else that I can see on reduction of energy demand.
And here is the money being wasted:
'£30bn in investment in nuclear power, about half on the Sizewell C reactor'
Small tidal schemes in the Mersey, Severn and other estuaries would give a better, and safer, approach to "always on" energy supply.

LVMH says AI and AI agents will be key to navigating a broad slowdown and waning demand in luxury goods, and is using AI in supply chains, pricing, and more (Isabelle Bousquette/Wall Street Journal)
https://www.wsj.com/artic…

Mean-Field-Type Game Theory with Rosenblatt Noise
Hamidou Tembine, Tyrone E. Duncan, Bozenna Pasik-Duncan
https://arxiv.org/abs/2506.08025 https://

Mean-Field-Type Game Theory with Rosenblatt Noise
We study the integration of Rosenblatt noise into stochastic systems, control theory, and mean-field-type game theory, addressing the limitations of traditional Gaussian and Markovian models. Empirical evidence from various domains, including water demand, e-commerce, power grid operations, wireless channels, and agricultural supply chains, demonstrates the prevalence of non-Gaussian characteristics such as skews, heavy tails and strong long-range dependencies. The Rosenblatt process, a non-Gau…

Quantitative Indices for Improving Metro Load Curve, Using Distributed Generation
Masoud Behbahani, Alireza Fereidunian
https://arxiv.org/abs/2506.08975 ht…

Quantitative Indices for Improving Metro Load Curve, Using Distributed Generation
This paper promises the idea of using DG (Distributed Generation) to improve the Metro load curve. Public transportation systems are often based on gasoline and diesel. However, with the gradual development in usage of the Metro and monorail, a new load with heavy demand, inappropriate load curve and middle LF (Load factor) is added to the electricity grid. In addition to supply problem of this massive consumer, the Metro load curve is another problem, which has a relatively low LF. Furthermore…

Subgame Perfect Nash Equilibria in Large Reinsurance Markets
Maria Andraos, Mario Ghossoub, Michael B. Zhu
https://arxiv.org/abs/2506.07291 https://…

Subgame Perfect Nash Equilibria in Large Reinsurance Markets
We consider a model of a reinsurance market consisting of multiple insurers on the demand side and multiple reinsurers on the supply side, thereby providing a unifying framework and extension of the recent literature on optimality and equilibria in reinsurance markets. Each insurer has preferences represented by a general Choquet risk measure and can purchase coverage from any or all reinsurers. Each reinsurer has preferences represented by a general Choquet risk measure and can provide coverag…

"EV battery recycling key to easing future lithium supply constraints, modeling study shows"
#EV #ElectricVehicle #Cars

EV battery recycling key to easing future lithium supply constraints, modeling study shows
Lightweight, powerful lithium-ion batteries are crucial for the transition to electric vehicles, and global demand for lithium is set to grow rapidly over the next 25 years. A new analysis from the University of California, Davis, published May 29 in Nature Sustainability, looks at how new mining operations and battery recycling could meet that demand. Recycling could play a big role in easing supply constraints, the researchers found.

Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling
Bo Fu, Mingjie Bi, Shota Umeda, Takahiro Nakano, Youichi Nonaka, Quan Zhou, Takaharu Matsui, Dawn M. Tilbury, Kira Barton
https://arxiv.org/abs/2506.07332

Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling
The increasing complexity of modern manufacturing, coupled with demand fluctuation, supply chain uncertainties, and product customization, underscores the need for manufacturing systems that can flexibly update their configurations and swiftly adapt to disturbances. However, current research falls short in providing a holistic reconfigurable manufacturing framework that seamlessly monitors system disturbances, optimizes alternative line configurations based on machine capabilities, and automate…

@… shows the long-term developments in #LTC in #CH by 2040 and how demand-supply match has deteriorated over six years of the

Impact of COVID-19 on The Bullwhip Effect Across U.S. Industries
Alper Saricioglu, Mujde Erol Genevois, Michele Cedolin
https://arxiv.org/abs/2506.06368 ht…

Impact of COVID-19 on The Bullwhip Effect Across U.S. Industries
The Bullwhip Effect, describing the amplification of demand variability up the supply chain, poses significant challenges in Supply Chain Management. This study examines how the COVID-19 pandemic intensified the Bullwhip Effect across U.S. industries, using extensive industry-level data. By focusing on the manufacturing, retailer, and wholesaler sectors, the research explores how external shocks exacerbate this phenomenon. Employing both traditional and advanced empirical techniques, the analys…

Good article on some of the UK developments enabling aggregators (virtual lead parties) to unlock more demand side flexibility, including residential (heat pumps, batteries, EVs).
https://www.greenexecutives.com/post/unlocking-th…

Unlocking the Future of Energy: How UK Flex Markets Are Reshaping the Grid
With more renewable energy—especially wind and solar—being integrated than ever before, maintaining balance between supply and demand in real time is a growing challenge. That’s where flex markets come in - and everyone from business to consumers is invited to have a seat at the table.

One #infosec example of the very many NSF funding awards being revoked:
"Hudson County Community College (HCCC) was awarded a $599,811 National Science Foundation (NSF) grant for its program, “Nurturing Resilience: Empowering the Next Generation of Cybersecurity Professionals with a Focus on Women.” The program goals are to recruit and retain more women in the HCCC Cybersecurity Prog…

Hudson County Community College Receives $600,000 National Science Foundation Grant to Expand Its Nationally Acclaimed Cybersecurity Program
The explosive demand for Cybersecurity is outpacing the supply of computer science professionals who assess threats and prevent attacks. Educational institutions, healthcare organizations, government, businesses, and individuals are increasingly vulnerable to evolving hazards including phishing, spoofing, malware, ransomware, and viruses.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems
Xinling Li, Xiaotong Guo, Qingyi Wang, Gioele Zardini, Jinhua Zhao
https://arxiv.org/abs/2507.04520

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems
Autonomous Mobility-on-Demand (AMoD) services offer an opportunity for improving passenger service while reducing pollution and energy consumption through effective vehicle coordination. A primary challenge in the autonomous fleets coordination is to tackle the inherent issue of supply-demand imbalance. A key strategy in resolving this is vehicle rebalancing, strategically directing idle vehicles to areas with anticipated future demand. Traditional research focuses on deterministic optimization…

This https://arxiv.org/abs/2505.23847 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems
Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership. Yet, cross-domain collaboration shatters the unified trust assumptions behind current alignment and containment techniques. An agent benign in isolation may, when receiving messages from an untrusted peer, leak secrets or viola…

#Copper #Mining and Vehicle Electrification | IEF Report
"To meet ... trends, 115% more copper must be mined in the next 30 years than has been mined historically until now. To electrify the global vehicle fleet requires bringing into production 55% more new mines than would otherwise be needed. On…

Copper Mining and Vehicle Electrification | IEF Report
Many studies have raised concerns that copper supply cannot meet the copper demands of both the green energy transition and equitable global development. This report addresses this issue by projecting copper supply and demand from 2018 to 2050 and placing both in the historical context of copper mine output.

Critical demand in a stochastic model of flows in supply networks
Yannick Feld, Marc Barthelemy
https://arxiv.org/abs/2505.24813 https://

Critical demand in a stochastic model of flows in supply networks
Supply networks are essential for modern production, yet their critical properties remain understudied. We present a stochastic model with random production capacities to analyze material flow to a root node, focusing on topology and buffer stocks. The critical demand, where unsatisfied demand diverges, is examined mostly through numerical simulations. Without stocks, minimal production dictates behavior, making topology irrelevant. With stocks, memory effects arise, making topology crucial. In…

This https://arxiv.org/abs/2205.10538 has been replaced.
link: https://scholar.google.com/scholar?q=a

Automated machine learning: AI-driven decision making in business analytics
The realization that AI-driven decision-making is indispensable in today's fast-paced and ultra-competitive marketplace has raised interest in industrial machine learning (ML) applications significantly. The current demand for analytics experts vastly exceeds the supply. One solution to this problem is to increase the user-friendliness of ML frameworks to make them more accessible for the non-expert. Automated machine learning (AutoML) is an attempt to solve the problem of expertise by providin…

This https://arxiv.org/abs/2505.22862 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Optimal Auction Design for Dynamic Stochastic Environments: Myerson Meets Naor
Allocation of goods and services often involves both stochastic supply and stochastic demand. Motivated by applications such as cloud computing, gig platforms, and blockchain auctions, we study the design of optimal selling mechanisms in an environment where buyers with private valuations arrive stochastically and are assigned goods that also arrive stochastically, and either buyers or goods can be held in a queue at costs until allocation. The optimal mechanism dynamically leverages competitiv…

Production Planning Under Demand and Endogenous Supply Uncertainty
Mike Hewitt, Giovanni Pantuso
https://arxiv.org/abs/2506.23780 https://

Production Planning Under Demand and Endogenous Supply Uncertainty
We study the problem of determining how much finished goods inventory to source from different capacitated facilities in order to maximize profits resulting from sales of such inventory. We consider a problem wherein there is uncertainty in demand for finished goods inventory and production yields at facilities. Further, we consider that uncertainty in production yields is endogenous, as it depends on both the facilities where a product is produced and the volumes produced at those facilities. …

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume
Yinghan Li, Yilin Yao, Junghua Lin, Nanxi Wang
https://arxiv.org/abs/2506.21927

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume
This study explores the application potential of a deep learning model based on the CNN-LSTM framework in forecasting the sales volume of cancer drugs, with a focus on modeling complex time series data. As advancements in medical technology and cancer treatment continue, the demand for oncology medications is steadily increasing. Accurate forecasting of cancer drug sales plays a critical role in optimizing production planning, supply chain management, and healthcare policy formulation. The data…

Apache Flink is uniquely positioned to serve as the backbone for AI agents, equipping them with the powerful new tool of stream processing. Join Steffen Hoellinger at this year's Berlin Buzzwords to explore how Flink jobs can be transformed into “Agents”—autonomous, goal-driven entities that dynamically interact with data streams, trigger actions, and adapt their behaviour based on real-time insights.
Learn more:

This https://arxiv.org/abs/2503.23604 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

The optimum mix of storage and backup in a highly renewable, highly reliable European electricity grid
We estimate the variability of solar and wind energy generation potential in Europe over a 43 year period between 1980-2022 with the MERRA-2 reanalysis datasets. We compare the estimated supply potential to hourly demand data from 36 European countries to calculate the reliability of a highly renewable electricity grid in Europe. We find that in cost-optimised scenarios with onshore wind, solar and storage, but no natural gas, reliably meeting the last 1% of demand represents 36% of the entire …

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems
Ronny Ko, Jiseong Jeong, Shuyuan Zheng, Chuan Xiao, Taewan Kim, Makoto Onizuka, Wonyong Shin
https://arxiv.org/abs/2505.23847

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems
Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership. Yet, cross-domain collaboration shatters the unified trust assumptions behind current alignment and containment techniques. An agent benign in isolation may, when receiving messages from an untrusted peer, leak secrets or viola…

Optimal Auction Design for Dynamic Stochastic Environments: Myerson Meets Naor
Yeon-Koo Che, Andrew B. Choi
https://arxiv.org/abs/2505.22862 https://

Optimal Auction Design for Dynamic Stochastic Environments: Myerson Meets Naor
Allocation of goods and services often involves both stochastic supply and stochastic demand. Motivated by applications such as cloud computing, gig platforms, and blockchain auctions, we study the design of optimal selling mechanisms in an environment where buyers with private valuations arrive stochastically and are assigned goods that also arrive stochastically, and either buyers or goods can be held in a queue at costs until allocation. The optimal mechanism dynamically leverages competitiv…

Peer-to-Peer Energy Markets With Uniform Pricing: A Dynamic Operating Envelope Approach
Zeinab Salehi, Yijun Chen, Ian R. Petersen, Guodong Shi, Duncan S. Callaway, Elizabeth L. Ratnam
https://arxiv.org/abs/2506.19328

Peer-to-Peer Energy Markets With Uniform Pricing: A Dynamic Operating Envelope Approach
The recent widespread adoption of rooftop solar backed by battery storage is enabling energy customers to both produce and consume electricity (i.e., prosumers of electricity). To facilitate prosumer participation in the electric grid, new market mechanisms are required. In this paper, we design peer-to-peer energy markets where prosumers trade their excess energy with peers to gain profit while satisfying the overall balance in electricity supply and demand. We first consider a market structur…

Consumption Stimulus with Digital Coupons
Ying Chen, Mingyi Li, Jiaming Mao, Jingyi Zhou
https://arxiv.org/abs/2507.01365 https://arx…

Consumption Stimulus with Digital Coupons
We study consumption stimulus with digital coupons, which provide time-limited subsidies contingent on minimum spending. We analyze a large-scale program in China and present five main findings: (1) the program generates large short-term effects, with each $\yen$1 of government subsidy inducing $\yen$3.4 in consumer spending; (2) consumption responses vary substantially, driven by both demand-side factors (e.g., wealth) and supply-side factors (e.g., local consumption amenities); (3) The larges…

An advanced reliability reserve incentivizes flexibility investments while safeguarding the electricity market
Franziska Klaucke, Karsten Neuhoff, Alexander Roth, Wolf-Peter Schill, Leon Stolle
https://arxiv.org/abs/2506.14664

An advanced reliability reserve incentivizes flexibility investments while safeguarding the electricity market
To ensure security of supply in the power sector, many countries are already using or discussing the introduction of capacity mechanisms. Two main types of such mechanisms include capacity markets and capacity reserves. Simultaneously, the expansion of variable renewable energy sources increases the need for power sector flexibility, for which there are promising yet often under-utilized options on the demand side. In this paper, we analyze how a centralized capacity market and an advanced reli…