Showing 1–12 of 12 results
/ Date/ Name
Jun 10, 2023A Chance-Constrained Optimal Design of Volt/VAR Control Rules for Distributed Energy ResourcesJan 4, 2023A Quantum Approach for Stochastic Constrained Binary OptimizationJan 4, 2023Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural NetworksNov 17, 2022Optimal Design of Volt/VAR Control Rules of Inverters using Deep LearningOct 23, 2022Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy ResourcesJan 28, 2022Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load ModelsDec 4, 2021DNN-based Policies for Stochastic AC OPFMay 2, 2021Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based ApproachJul 11, 2020Deep Learning for Reactive Power Control of Smart Inverters under Communication ConstraintsJul 7, 2020Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural NetworksApr 14, 2020Strategic Investment in Energy Markets: A Multiparametric Programming ApproachDec 22, 2017Optimal Real-Time Coordination of Energy Storage Units as a Voltage-Constrained Game