Showing 1–15 of 15 results
/ Date/ Name
Nov 12, 2021Adversarially Robust Learning for Security-Constrained Optimal Power FlowJun 12, 2024Improving Policy Optimization via $\varepsilon$-RetrainApr 25, 2021DC3: A learning method for optimization with hard constraintsNov 16, 2020Enforcing robust control guarantees within neural network policiesMar 29, 2025RL2Grid: Benchmarking Reinforcement Learning in Power Grid OperationsJul 16, 2024Defining 'Good': Evaluation Framework for Synthetic Smart Meter DataDec 27, 2022Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate ChallengesMar 26, 2024Application-Driven Innovation in Machine LearningMay 31, 2025FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with GuaranteesNov 25, 2025Strategic bid response under automated market power mitigation in electricity marketsMar 13, 2017Task-based End-to-end Model Learning in Stochastic OptimizationJun 10, 2019Tackling Climate Change with Machine LearningMay 29, 2019SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solverJan 29, 2018Matrix Completion for Low-Observability Voltage EstimationApr 3, 2026Improving Feasibility via Fast Autoencoder-Based Projections