Learning Adaptive Topology-Aware Line Margins for AC Optimal Power Flow under Forecast Uncertainty and Distribution Shift

David J. K. Smith, Thomas Morstyn

FLARE: Physics-Grounded Evaluation of Language-Model Agents for Feeder Restoration with Degraded Observations

BHVSP Subrahmanyam, Neeraj Choudhary

Toward Out-of-Distribution Generalization in Neural AC Power Flow

Ojas Sanghi, Anvita Bhagavathula, Alvaro Carbonero, Priya L. Donti

Benchmarking CPU, GPU, and ML Power-Flow Solvers from 14 to 70,000 Buses

Benjamin Donnot, Sami Tazi, Eva Boguslawski, Noureddine Henka

Closing the Accuracy Gap in Electrical Model-Free OPF with Concurrent Voltage Estimation

Irene Zheng, Luis Ochoa

Spatio-Temporal GraphSAGE Framework for Generalizable Power Grid Representations

Liana Toderean, Tudor Cioara, Vasilis Michalakopoulos, Elissaios Sarmas, Ionut Anghel

Extrapolating to Unseen Solar PV Levels: Physics-Informed Voltage Calculation in Low-Voltage Networks

Orlando Pereira Guzman, Luis Ochoa

Towards a Generalization Benchmark for GNN Power-Flow Models: An Out-of-Distribution Evaluation for Transmission Grids

David Quispe G.

Diffusion-based Random Attack Generators for Interdiction Analysis in Electric Power Systems

Manuel J Garcia, Robert Ferrando

PowerFORM: A General-Purpose Foundation Model for Power Systems

Seungchan Jo, Gyu-Sub Lee

DERBench: A Benchmark for Evaluating LLMs on Distributed Energy Resource Operations

Shreya Prithviraj Savant, Chengming Hu, Juanwei Chen, Kajal Pokharel, Yefeng Yuan, Jun Yan, Yuhong Liu, Hepeng Li, Jie Gao

Compositional Power System Dynamic Model Using Causality-Aware Physics-Informed DeepONet

Zongqi Hu, Bai Cui

Benchmarking LLM Bidding Agents in Electricity Markets: Hour-Specific Pricing and Experience Effects

Shen Wang

Ground Flash Density as a Function of Climate: Scenario-Conditioned Lightning Hazard with Calibrated Uncertainty

Livia Cereja Meinhardt, Rafael Martins de Souza, Dario Augusto Borges Oliveira

The Cost of Coverage: Conformalising Native Forecast Uncertainty for GB Wind Power

Carl Somers

Sensor-Aware Joint Data Fusion and State Estimation under Sparse Multi-rate Distribution Grid Sensing

Pooja Algikar, Stefano Fenu, Kumarsinh Jhala, Siby Jose Plathottam

Learning-Enhanced Column Generation for Large-Scale Bulk Dispatch Optimization

Ruohong Liu, Xuan He, Yuxin Pan, Jack Umenberger

FP-QF: A Matrix-Inversion-Free AC Power Flow Solver for Differentiable ML Pipelines

Oluwatomisin Dada, Neil D Lawrence

Causal Models for Electricity Markets and Power Grid Congestion

Sarah Schreyer, Leo Rösgen, Ulrich Oberhofer, Sebastian Pütz, Florian Immig, Aaron Praktiknjo, Dirk Witthaut, Benjamin Schäfer

Beyond Average Error: SpikeBench-PJM for Real-Time Electricity Price Forecasting

Kai Xie, Weijia Rong, Weilong Chen, Zhang Minghui, Yan Wang, Yanru Zhang

FALCON-UC: Feasibility-Aware Learning for Network-Constrained Unit Commitment

Hien Thanh Doan, Lim yeji, Hongseok Kim

Cross-Market Meta-Learning for Electricity Price Forecasting

Delaram Pirhayatifard, Terrence Alsup

Reconciling European Electricity Data with Diffusion Priors Learned from Observations Alone

Matthias Pirlet, Adrien Bolland, Gilles Louppe, Damien Ernst

Deep Learning-Accelerated Shapley Value for Fair Allocation in Power Systems at Real-World Grid Scale

Yuanhao Feng, Tao Sun, Yan Meng, Xuxin Yang, Donghan Feng

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

Borui Zhang, Nariman Mahdavi, Subbu Sethuvenkatraman, Flora D. Salim

Metamorphic testing of learned AC-OPF evaluation reveals representation dependence

Stephen Peng, Vineet Jagadeesan Nair

Decentralized Model-Free Voltage Calculation Using Neighboring Smart-Meter Data

Dinesh Papal, Payam Teimourzadeh Baboli, Christian Becker

Structured Equilibrium Learning for OPF Imitation

Zhenyi Yuan, Jorge Cortes

Beyond Price Signals: Coordinated Wholesale Market Participation for Flexible Data Centers

Damien Fay, Patrick McEnroe, Vineet Gundecha, Avisek Naug, Sifat Muhammad Abdullah, Mahasweta Chakraborti, Soumyendu Sarkar

Structured Representation Learning for Behavior Cloning: How can we learn to safely control a nuclear power plant?

Perceval Beja-Battais, Alain Grossetête, Nicolas Vayatis

UNION: Topology-Conditioned AC-OPF under Structural Grid Shifts

Kyungnam Park, Keunju Song, Lim yeji, Suho Park, Kibaek Kim, Hongseok Kim