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PowerGridworld
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/s0378-7788(00)00114-6openalex-snapshot
EnergyPlus: creating a new-generation building energy simulation program
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1038/s41586-019-1724-zopenalex-snapshot
Grandmaster level in StarCraft II using multi-agent reinforcement learning
inferredcites →https://doi.org/10.1109/tpwrs.2018.2829021openalex-snapshot
Pandapower—An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems
inferredcites →https://doi.org/10.1109/tpwrs.2019.2941134openalex-snapshot
Deep-Reinforcement-Learning-Based Autonomous Voltage Control for Power Grid Operations
inferredcites →https://doi.org/10.1109/tpwrs.2019.2948132openalex-snapshot
Optimal Tap Setting of Voltage Regulation Transformers Using Batch Reinforcement Learning
inferredcites →https://doi.org/10.1109/tpwrs.2021.3100898openalex-snapshot
PowerNet: Multi-Agent Deep Reinforcement Learning for Scalable Powergrid Control
inferredcites →https://doi.org/10.1109/tsg.2016.2629450openalex-snapshot
Convolutional Neural Networks for Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control
inferredcites →https://doi.org/10.1109/tsg.2019.2951769openalex-snapshot
Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tsg.2021.3058996openalex-snapshot
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks
inferredcites →https://doi.org/10.1615/atoz.e.elepowresinsepropenalex-snapshot
ELECTRIC POWER RESEARCH INSTITUTE, EPRI
inferredcites →https://doi.org/10.48550/arxiv.1712.05889openalex-snapshot
Ray: A Distributed Framework for Emerging AI Applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4674457openalex-extracted
Energy Management Based on Safe Multi-Agent Reinforcement Learning for Smart Multi-Energy Buildings in Distribution Networks
inferred← citeshttps://doi.org/10.2139/ssrn.4691482openalex-extracted
Energy Management Based on Safe Multi-Agent Reinforcement Learning for Smart Multi-Energy Buildings in Distribution Networks
inferred← citeshttps://doi.org/10.1007/s42979-026-05256-2openalex-snapshot
Integration of Multi-agent Reinforcement Learning (MARL) and Large Language Models (LLMs) in Agentic AI Systems: A Narrative Review
inferred← citeshttps://doi.org/10.1016/j.apenergy.2024.123848openalex-snapshot
OPLEM: Open Platform for Local Energy Markets
inferred← citeshttps://doi.org/10.1016/j.egyai.2024.100457openalex-snapshot
RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks
inferred← citeshttps://doi.org/10.1016/j.egyai.2025.100564openalex-snapshot
AI challenge for safe and low carbon power grid operation
inferred← citeshttps://doi.org/10.1016/j.jai.2024.02.003openalex-snapshot
A survey on multi-agent reinforcement learning and its application
inferred← citeshttps://doi.org/10.1049/cth2.70064openalex-snapshot
Multi‐Agent Game Strategies for Kill Chain Optimization in Networked Aerial Combat Systems
inferred← citeshttps://doi.org/10.1093/ijlct/ctaf142openalex-snapshot
Multiagent reinforcement learning framework for optimal grid integration of distributed renewable electricity sources with energy storage systems
inferred← citeshttps://doi.org/10.1093/pnasnexus/pgaf246openalex-snapshot
A multiagent reinforcement learning algorithm for personalized recommendations in bipolar disorder
inferred← citeshttps://doi.org/10.1109/icet63392.2024.10935009openalex-snapshot
Fast Frequency Response Provision from Inverter-Enabled Hybrid Power Plants
inferred← citeshttps://doi.org/10.1109/icmla58977.2023.00054openalex-snapshot
Forecasting Critical Overloads based on Heterogeneous Smart Grid Simulation
inferred← citeshttps://doi.org/10.1109/iscon65210.2025.11340987openalex-snapshot
Visibility into Agentic AI for Required System Theory and Increasing Harms in Algorithmic System
inferred← citeshttps://doi.org/10.1109/isgteurope64741.2025.11305410openalex-snapshot
Towards Transferable Deep Reinforcement Learning Policies with high Post-Deployment Performance in Smart Grids
inferred← citeshttps://doi.org/10.1109/oajpe.2025.3573958openalex-snapshot
Open Power System Datasets and Open Simulation Engines: A Survey Toward Machine Learning Applications
inferred← citeshttps://doi.org/10.1109/tii.2026.3699131openalex-snapshot
Digital Twin for Multitimescale Economic Dispatch in Cyber-Physical Energy Systems
inferred← citeshttps://doi.org/10.1109/tpec63981.2025.10907039openalex-snapshot
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents
inferred← citeshttps://doi.org/10.1109/tsg.2025.3616402openalex-snapshot
CommonPower: A Framework for Safe Data-Driven Smart Grid Control
inferred← citeshttps://doi.org/10.1117/12.2650992openalex-snapshot
Decentralized power grid control scheme utilizing photonic sensing and computing
inferred← citeshttps://doi.org/10.1561/3100000043openalex-snapshot
Reinforcement Learning Meets the Power Grid: A Contemporary Survey with Emphasis on Safety and Multi-agent Challenges
inferred← citeshttps://doi.org/10.2139/ssrn.5705203openalex-snapshot
MARLEM: A Multi-Agent Reinforcement Learning Simulation Framework for Implicit Cooperation in Decentralized Local Energy Markets
inferred← citeshttps://doi.org/10.2139/ssrn.6386990openalex-snapshot
OpenSmartGrid: A Novel OpenAI-Based Environment for Evaluating Deep Reinforcement Learning Approaches to Smart Grid Management
inferred← citeshttps://doi.org/10.3389/fenrg.2023.1197024openalex-snapshot
Intelligent grid load forecasting based on BERT network model in low-carbon economy
inferred← citeshttps://doi.org/10.3389/frsgr.2024.1371153openalex-snapshot
A review of machine learning applications in power system protection and emergency control: opportunities, challenges, and future directions
inferred← citeshttps://doi.org/10.3390/electronics15091902openalex-snapshot
A Control-Centric Systematic Review of MARL for EV–Grid Coordination: From Predictive Input to Verifiable Feedback
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