Energy Systems - Edgentiq

AI Learns to Stabilize Power Grids: Adaptive Control for Sub-Synchronous Oscillations

Enhancing Power Grid Optimization Proxies with Constraint-Informed Active Learning

Adapting Fault Prediction in Smart Grids with Prototype-based Continual Learning

OSBAD: A New Open-Source Benchmark for Battery Anomaly Detection

Assessing AI’s Reasoning Capabilities in Energy System Analysis: A New Benchmark

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Accelerating Power Grid Congestion Management with Transferable Graph Learning

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Accelerating Power Grid Optimization with Residual Learning and Graph Neural Networks

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Hybrid Optimization Solver Delivers Unprecedented Speed and Trust for Power Grids

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Real-E Dataset: A New Standard for Electricity Forecasting Research

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A Unified Approach to Battery Management with Flexible Pretraining

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Physics-Informed Neural Networks Enhance Smart Grid Modeling and Reliability

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AI Framework Transforms Power System Descriptions into Solver-Ready Models

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AI Framework Optimizes Power Grid Configurations for Enhanced Energy Transfer

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Robotics Charts a Course for Climate Action: A Comprehensive Research Roadmap

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Single-Sensor System Boosts Cyber-Attack Detection in Smart Microgrids

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Gen AI News and Updates

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AI Learns to Stabilize Power Grids: Adaptive Control for Sub-Synchronous Oscillations

November 11, 2025

Enhancing Power Grid Optimization Proxies with Constraint-Informed Active Learning

November 11, 2025

Adapting Fault Prediction in Smart Grids with Prototype-based Continual Learning

November 10, 2025