Tag: power-systems

Jun 14, 2026

L2RPN / Grid2Op

Jun 14, 2026

Active Power Correction Strategies Based on Deep Reinforcement Learning--Part II: A Distributed Solution for Adaptability

Jun 14, 2026

Adversarial Training for a Continuous Robustness Control Problem in Power Systems

Jun 14, 2026

AI challenge for safe and low carbon power grid operation

Jun 14, 2026

Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption

Jun 14, 2026

Expert System for topological remedial action discovery in smart grids

Jun 14, 2026

Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids

Jun 14, 2026

Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations

Jun 14, 2026

Power Grid Control with Graph-Based Distributed Reinforcement Learning

Jun 14, 2026

Graph Neural Solver for Power Systems

Jun 14, 2026

Graph Reinforcement Learning for Power Grids: A Comprehensive Survey

Jun 14, 2026

Exploring grid topology reconfiguration using a simple deep reinforcement learning approach

Jun 14, 2026

Fast Power system security analysis with Guided Dropout

Jun 14, 2026

Guided Machine Learning for power grid segmentation

Jun 14, 2026

Interpretable Policy Distillation for Power Grid Topology Control

Jun 14, 2026

Learning to run a Power Network Challenge: a Retrospective Analysis

Jun 14, 2026

Learning to run a power network challenge for training topology controllers

Jun 14, 2026

LEAP nets for power grid perturbations

Jun 14, 2026

LEAP Nets for System Identification and Application to Power Systems

Jun 14, 2026

AI-Based Autonomous Line Flow Control via Topology Adjustment for Maximizing Time-Series ATCs

Jun 14, 2026

LLM-Guided Safe Reinforcement Learning for Energy System Topology Reconfiguration

Jun 14, 2026

Introducing machine learning for power system operation support

Jun 14, 2026

MARL2Grid-TR: A Multi-Agent RL Benchmark in Power Grid Operations

Jun 14, 2026

Neural Networks for Power Flow: Graph Neural Solver

Jun 14, 2026

Power Grid Congestion Management via Topology Optimization with AlphaZero

Jun 14, 2026

Anticipating contingengies in power grids using fast neural net screening

Jun 14, 2026

Optimization of computational budget for power system risk assessment

Jun 14, 2026

RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations

Jun 14, 2026

Hierarchical Reinforcement Learning with Runtime Safety Shielding for Power Grid Operation

Jun 14, 2026

Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach

Jun 14, 2026

RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors

Jun 14, 2026

Learning to Run a Power Network under Varying Grid Topology

Jun 14, 2026

Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic

Jun 14, 2026

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Tag: power-systems

L2RPN / Grid2Op

Active Power Correction Strategies Based on Deep Reinforcement Learning--Part II: A Distributed Solution for Adaptability

Adversarial Training for a Continuous Robustness Control Problem in Power Systems

AI challenge for safe and low carbon power grid operation

Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption

Expert System for topological remedial action discovery in smart grids

Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids

Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations

Power Grid Control with Graph-Based Distributed Reinforcement Learning

Graph Neural Solver for Power Systems

Graph Reinforcement Learning for Power Grids: A Comprehensive Survey

Exploring grid topology reconfiguration using a simple deep reinforcement learning approach

Fast Power system security analysis with Guided Dropout

Guided Machine Learning for power grid segmentation

Interpretable Policy Distillation for Power Grid Topology Control

Learning to run a Power Network Challenge: a Retrospective Analysis

Learning to run a power network challenge for training topology controllers

LEAP nets for power grid perturbations

LEAP Nets for System Identification and Application to Power Systems

AI-Based Autonomous Line Flow Control via Topology Adjustment for Maximizing Time-Series ATCs

LLM-Guided Safe Reinforcement Learning for Energy System Topology Reconfiguration

Introducing machine learning for power system operation support

MARL2Grid-TR: A Multi-Agent RL Benchmark in Power Grid Operations

Neural Networks for Power Flow: Graph Neural Solver

Power Grid Congestion Management via Topology Optimization with AlphaZero

Anticipating contingengies in power grids using fast neural net screening

Optimization of computational budget for power system risk assessment

RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations

Hierarchical Reinforcement Learning with Runtime Safety Shielding for Power Grid Operation

Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach

RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors

Learning to Run a Power Network under Varying Grid Topology

Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic

A World Model Based Reinforcement Learning Architecture for Autonomous Power System Control