Power Systems

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20 papers in the last four weeks, up 122% on the four weeks before. 0.2% of all new papers.

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  1. Exact and Evolutionary Algorithms for Sequential Multi-Objective Transmission Topology Planning

    May 5, 2026Job Groeneveld, Miguel Muñoz, Jan Viebahn +1Multi-Objective Evolutionary OptimizationCombinatorial Optimization

    TenneT TSO B.V., Arnhem, The Netherlands · Artelys, Paris, France · Department of Mathematics, Vrije Universiteit Amsterdam, The Netherlands

  2. MARS-DA: A Hierarchical Reinforcement Learning Framework for Risk-Aware Multi-Agent Bidding in Power Grids

    May 4, 2026Jiayi Chen, Xuan Zhang, Guiling WangHierarchical RLRisk-Sensitive RL

    Department of Computer Science, New Jersey Institute of Technology

  3. From Barrier to Bridge: The Case for AI Data Center/Power Grid Co-Design

    May 4, 2026Noman Bashir, Rob Sherwood, Le Xie +1Power Systems

    Massachusetts Institute of Technology, USA · SwitchDin, Australia · Harvard University, USA

  4. LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning

    May 4, 2026Hongwei Jin, Keunju Song, Zeeshan Memon +5Neural Surrogate ModelingBenchmark Design

    Mathematics and Computer Science Division, Argonne National Laboratory · Department of Electronic Engineering, Sogang University · Department of Computer Science, Emory University +1

  5. Towards Systematic Generalization for Power Grid Optimization Problems

    May 3, 2026Zeeshan Memon, Yijiang Li, Hongwei Jin +2Optimal Power FlowConstrained Optimization

    Emory University Atlanta, GA, USA · Argonne National Laboratory Lemont, IL, USA

  6. SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting

    Apr 30, 2026Arnaud ZinflouTime Series ImputationIncomplete Data Imputation

    Hydro-Québec Research Institute Canada

  7. Fairness for distribution network operations and planning

    Apr 30, 2026Pedro F. C. de Carvalho, Zijie Liu, Md Umar Hashmi +1Fair Resource AllocationAlgorithmic Fairness

    KU Leuven, division Electa in Leuven · & EnergyVille in Genk, Belgium

  8. GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility

    Apr 27, 2026Yihong Zhou, Hongtai Zeng, Thomas MorstynMulti-Agent ControlConstrained RL

    Department of Engineering Science, University of Oxford

  9. 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 +4Power Systems

    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

  10. Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather

    Apr 26, 2026Md Abubakkar, Sajib Debnath, Md. Uzzal MiaHybrid CNN-Transformer ArchitecturesTime Series Forecasting

    Dept. of Computer Science, Midwestern State University, Dallas, TX, USA · O&M Analytics, AES Clean Energy, The AES Corporation, Louisville, CO, USA · Dept. of Information and Communication Engineering, Pabna University of Science and Technology, Bangladesh

  11. A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment

    Apr 23, 2026Muhy Eddin Za'ter, Anna Van Boven, Bri-Mathias Hodge +1Mixed-Integer Linear ProgrammingPower Systems

    University of Colorado Boulder Boulder, CO, USA

  12. A Hierarchical MARL-Based Approach for Coordinated Retail P2P Trading and Wholesale Market Participation of DERs

    Apr 22, 2026Patrick Wilk, Ethan Cantor, Yikui Liu +1Multi-Agent Reinforcement LearningPower Systems

    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

  13. Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids

    Apr 22, 2026Burak Karabulut, Carlo Manna, Chris DevelderGraph Attention NetworksGraph Neural Networks

    Ghent University – imec · VITO

  14. A Network-Aware Evaluation of Distributed Energy Resource Control in Smart Distribution Systems

    Apr 21, 2026Houchao GanDistributed OptimizationFeedback Control

    Department of Computer Science City University of New York

  15. A Generalized Synthetic Control Method for Baseline Estimation in Demand Response Services

    Apr 20, 2026Jonas Sievers, Mardavij RoozbehaniCounterfactual PredictionDemand Response

    Institute for Data Processing and Electronics, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany · Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Boston, MA 02139, USA

  16. Predicting Power-System Dynamic Trajectories with Foundation Models

    Apr 16, 2026Haoran Li, Lihao Mai, Chenhan Xiao +2Neural Surrogate ModelingZero-Shot Time Series Forecasting

    School of Electrical, Computer and Energy Engineering at Arizona State University, Tempe, AZ 85281 USA · MOVEJ Analytics, Dayton, OH 45324 USA

  17. Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting

    Apr 16, 2026Jan Niklas Lettner, Hadeer El Ashhab, Veit Hagenmeyer +1Electricity Price ForecastingTime Series Forecasting

    Karlsruhe Institute of Technology · Karlsruhe, Germany

  18. Learning Without Adversarial Training: A Physics-Informed Neural Network for Secure Power System State Estimation under False Data Injection Attacks

    Apr 3, 2026Solon Falas, Markos Asprou, Charalambos Konstantinou +1False Data Injection AttacksAdversarial Robustness

    KIOS Center of Excellence, University of Cyprus · CEMSE, King Abdullah University of Science and Technology (KAUST) · Department of Electrical and Computer Engineering, University of Cyprus

  19. AutoB2G: Agentic Simulation and Reinforcement Learning for Spatio-Temporal Grid-Interactive Building Control

    Mar 27, 2026Borui Zhang, Nariman Mahdavi, Subbu Sethuvenkatraman +1LLM Agent OrchestrationPower Systems

    University of New South Wales Sydney, NSW, Australia · CSIRO Newcastle, NSW, Australia

  20. Generating adversarial inputs for a graph neural network model of AC power flow

    Feb 20, 2026Robert ParkerNeural Surrogate ModelingGraph Neural Networks

    Los Alamos National Laboratory, Los Alamos, NM, USA

  21. Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles

    Feb 13, 2026Max Bruninx, Diederik van Binsbergen, Timothy Verstraeten +2Gradient-Boosted Decision TreesEnsemble Learning

    Vrije Universiteit Brussel, Brussels, Belgium · Norwegian University of Science and Technology, Trondheim, Norway

  22. CROCS: A Two-Stage Clustering Framework for Behaviour-Centric Consumer Segmentation with Smart Meter Data

    Jan 15, 2026Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston +2ClusteringDemand Response

  23. Accounting for Optimal Control in the Sizing of Isolated Hybrid Renewable Energy Systems Using Imitation Learning

    Jan 7, 2026Simon Halvdansson, Lucas Ferreira Bernardino, Brage Rugstad KnudsenPower Systems

    SINTEF Energy Research, Trondheim, Norway.

  24. Comparing Object Detection Models for Electrical Substation Component Mapping

    Dec 27, 2025Namish Bansal, Haley Mody, Dennies Kiprono Bor +2Object DetectionPower Systems

    George Mason University

  25. Reinforcement Learning to Initialize Newton-Raphson for AC Power Flow with Quantum Annealing-Based Environment Updates

    Nov 25, 2025Zeynab Kaseb, Matthias Moller, Lindsay Spoor +4Reinforcement LearningQuantum Annealing

    Electrical Sustainable Energy, Delft University of Technology, P.O. Box 5031, 2600 GA Delft, The Netherlands. · Applied Mathematics, Delft University of Technology, P.O. Box 5031, 2600 GA Delft, The Netherlands. · Leiden Institute of Advanced Computer Science, Leiden University, P.O. Box 9512, 2300 RA Leiden, The Netherlands. +3

  26. ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids

    Nov 7, 2025Emad Efatinasab, Nahal Azadi, Davide Dalle Pezze +3Class-Incremental LearningPrototype-Based Classification

    Department of Information Engineering, University of Padova. · School of Computing, Newcastle University.

  27. Machine Learning Guided Optimal Transmission Switching to Mitigate Wildfire Ignition Risk

    Oct 29, 2025Weimin Huang, Ryan Piansky, Bistra Dilkina +1Mixed-Integer Linear ProgrammingLearning to Optimize

    Department of Computer Science University of Southern California Los Angeles, CA, USA · School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, GA, USA

  28. Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator

    Sep 26, 2025Changhun Kim, Timon Conrad, Redwanul Karim +6Efficient Neural Network InferenceGraph Attention Networks

    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany · Institute of Electrical Energy Systems, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

  29. Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular Transformers

    May 1, 2025Bogireddy Sai Prasanna Teja, Valliappan Muthukaruppan, Carls BenjaminEvent Time PredictionTransformer

    Exelon Corporation, Chicago, IL, USA