Distributed Energy Resources

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2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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PowerMarketJax: A JAX Benchmark Suite for Multi-Agent Reinforcement Learning in Power Markets
Sep 29, 2026Zhanhua Pan, Xin Qin, Xiao Liu +3Multi-Agent Reinforcement Learning Distributed Energy Resources
Nanyang Technological University, Singapore. · Cornell University, USA. · University of Bristol, UK.
Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks
Sep 14, 2026Damilola Popoola, Souradeep Bhattacharya, Manimaran GovindarasuInterpretable Anomaly Detection Distributed Energy Resources
Department of Electrical and Computer Engineering Iowa State University, Ames, IA 50011
A Phased Development Framework Enabling Islanded Operation of Sustainable AI Data Centers With Onsite Grid-Following and Grid-Forming Energy Architectures
Jul 19, 2026Soham Ghosh, Nabil Mohammed, Mohammad Ashraf Hossain SadiArtificial Intelligence Infrastructure Distributed Energy Resources
Black & Veatch, Overland Park, KS 66211, USA · Centre for New Energy Transition Research (CfNETR) at Federation University, Ballarat, Australia · University of Central Missouri, Warrensburg, MO 64093 USA
Learning-enabled Acceleration of Scenario-based Model Predictive Control
Jul 14, 2026Trinh Tran, Binh Nguyen, Truong X. NghiemModel Predictive Control Alternating Direction Method Of Multiplier
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA
Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms
Jul 7, 2026Marcos Eduardo Cruz Victorio, Karl MasonDistributed Energy Resources Multi-Agent Reinforcement Learning
University of Galway, Ireland
Hierarchical Multi-Agent Reinforcement Learning for Carbon-Aware AI Data Centers in Power Distribution Systems
Jul 3, 2026Hyunsoo Lee, Panggah Prabawa, Dae-Hyun Choi +1Artificial Intelligence Infrastructure Distributed Energy Resources
LG Electronics, 17709, Pyeongtaek, Gyeonggi-do, Republic of Korea · School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Republic of Korea · Department of Electrical and Computer Engineering, Korea University, Seoul 02841, Republic of Korea
Smart charging of large fleets of Electric Vehicles: Independent Multi-Agent Reinforcement Learning approaches
Jun 30, 2026Xavier Rate, Eloann Le Guern, Raphaël Féraud +8Electric Vehicles Multi-Agent Reinforcement Learning
Orange · ENS Rennes · IMT Atlantique +1
A Hybrid CNN-LSTM Intrusion Detection Framework for Cybersecurity in Smart Renewable Energy Grids
Jun 23, 2026Sajib Debnath, Remon DasDistributed Energy Resources Intrusion Detection
O&M Analytics, AES Clean Energy · The AES Corporation · Louisville, CO 80027, USA +3
Supervised Reinforcement Learning for the Coordination of Distributed Energy Resources
Jun 23, 2026Haoyuan Deng, Yihong Zhou, Thomas Morstyn +1Distributed Energy Resources Power Systems
The University of Hong Kong, Hong Kong SAR, China · University of Oxford, Oxford, U.K. · The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
A Quantum-Assisted Agentic Distributed Artificial Intelligence Framework for Deadline-Bounded Orchestration of Hybrid Renewable Microgrids
Jun 12, 2026Iacovos I. Ioannou, Saher Javaid, Minella Bezha +3Distributed Energy Resources Demand Response
Department of Computer Science, Philips University, Nicosia, Cyprus · Department of Computer Science, University of Cyprus and the CYENS Centre of Excellence, Nicosia, Cyprus · School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan +1
LLM-Mediated Demand Response Coordination in Smart Microgrids
Jun 9, 2026J. de Curtò, I. de ZarzàDemand Response Distributed Energy Resources
Department of Computer Applications in Science & Engineering, BARCELONA Supercomputing Center, 08034 Barcelona, Spain · Escuela T´ecnica Superior de Ingenier´ıa (ICAI), Universidad Pontificia Comillas, 28015 Madrid, Spain · Human Centered AI, Data & Software, LUXEMBOURG Institute of Science and Technology, L-4362 Esch-sur-Alzette, Luxembourg
Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management
May 28, 2026Shadmehr Zaregarizi, Khashayar YavariElectricity Price Forecasting Energy Forecasting
Politecnico di Torino · Turin, Italy
Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral Graph Neural Networks
May 26, 2026Lihui Liu, Mucun Sun, Caisheng WangDistributed Energy Resources Optimal Power Flow
Wayne State University, Detroit, MI, USA
Type Checking Project Haystack Grids using JSON Schema and Pydantic
May 19, 2026Thomas Hirsch, Samina Kadkhoda Masoumali, Gerald SchweigerKeyed Javascript Object Notation Record Yields Building Information Modeling
TU Wien Vienna, Austria
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids
May 17, 2026Emad Abukhousa, Saman Zonouz, A. P. Sakis MeliopoulosPower Systems Distributed Energy Resources
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
TRUST-TAEA: A trustworthiness-guided two-archive evolutionary algorithm with variable-grouping sparse search for large-scale multi-objective optimization
May 13, 2026Junyi Cui, Chao Min, Stanisław Migórski +2Multi-Objective Optimization Evolutionary Optimization
School of Sciences, Southwest Petroleum University, Chengdu, 610500, China · Institute for Artificial Intelligence, Southwest Petroleum University, Chengdu, 610500, China · Jagiellonian University in Krakow, Faculty of Mathematics and Computer Science, Krakow, 30348, Poland +1
GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility
Apr 27, 2026Yihong Zhou, Hongtai Zeng, Thomas MorstynDistributed Energy Resources Decentralized Learning
Department of Engineering Science, University of Oxford
An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids
Apr 26, 2026Ahmad Mohammad Saber, Ahmed Saber Refae, Davor Svetinovic +4Distributed Energy Resources Voltage
Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada · Electric Power Engineering Department, Cairo University, Giza, Egypt · Department of Electrical Engineering, Khalifa University, Abu Dhabi, UAE +1
Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards
Apr 25, 2026Taha Hammadia, Lucas Rea, Ahmad Mohammad Saber +2Large Language Model Jailbreaks Jailbreak Attacks
ECE Department, University of Toronto, Toronto, ON Canada · CIISE, Concordia University, Montréal, QC, Canada
A Hierarchical MARL-Based Approach for Coordinated Retail P2P Trading and Wholesale Market Participation of DERs
Apr 22, 2026Patrick Wilk, Ethan Cantor, Yikui Liu +1Distributed Energy Resources Electricity Markets
aDepartment Electrical and Computer Engineering, Rowan University, 201 Mullica Hill Rd, Glassboro, New Jersey, 08028, United States · bSchool of Electrical Engineering, Sichuan University, 24 South Section 1, 1st Ring Road, Chengdu, 610065, China
A Network-Aware Evaluation of Distributed Energy Resource Control in Smart Distribution Systems
Apr 21, 2026Houchao GanDistributed Energy Resources Distributions
Department of Computer Science City University of New York
Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning
Aug 20, 2025Xudong Wang, Guoming Tang, Junyu Xue +3Distributed Energy Resources Energy Consumption
The Chinese University of Hong Kong, Shenzhen · The Hong Kong University of Science and Technology (Guangzhou) · Southern University of Science and Technology +1

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PowerMarketJax: A JAX Benchmark Suite for Multi-Agent Reinforcement Learning in Power Markets

Zhanhua Pan, Xin Qin, Xiao Liu, Zhilong Cao+2

Nanyang Technological University, Singapore. · Cornell University, USA. · University of Bristol, UK.

Multi-Agent Reinforcement Learning Distributed Energy Resources Bidding Benchmark Saturation

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Power markets are a natural testbed for multi-agent reinforcement learning (MARL), where multiple self-interested participants repeatedly submit bids. A market-clearing mechanism then determines dispatch and prices subject to power grid constraints and market settlement rules. However, existing MARL environments typically focus on a single market setting, implement simplified clearing mechanisms, or rely on CPU-based optimization solvers that slow large-scale training and limit the systematic study of bidding strategies and market behavior. We introduce PowerMarketJax, a benchmark suite for MARL across five power markets: day-ahead wholesale, real-time balancing, ancillary services, peer-to-peer double auctions, and local flexibility. Each environment implements its own clearing, pricing, and settlement rules while providing a common framework for learning and evaluation. We find that learned bidding behavior depends strongly on the market design: independent learners can miss better strategies when gains require many agents to change together, when more profitable strategies lie beyond a region of lower profit, or when profits disappear as more agents adopt the same strategy. PowerMarketJax implements both market simulation and policy training in JAX, allowing the entire pipeline to run on the GPU with 1,024 X 1,200 parallelisms across both environments and market participants, achieving up to 33X speedup over CPU-based baselines. Our open-source benchmark is available at: https://github.com/powermarketjax/PowerMarketJax.

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