Showing 21–40 of 65 results
/ Date/ Name
Oct 23, 2025Interpolatory Approximations of PMU Data: Dimension Reduction and Pilot SelectionSep 3, 2025Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum CircuitApr 22, 2011Robust Clustering Using Outlier-Sparsity RegularizationApr 4, 2012Distributed Robust Power System State EstimationJan 4, 2023Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural NetworksJun 22, 2018Smart Inverter Grid Probing for Learning Loads: Part II - Probing Injection DesignJun 20, 2018Optimal Scheduling of Water Distribution SystemsJun 4, 2019Natural Gas Flow Solvers using Convex RelaxationJul 11, 2018Power Flow Solvers for Direct Current NetworksJul 7, 2020Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural NetworksJul 11, 2020Deep Learning for Reactive Power Control of Smart Inverters under Communication ConstraintsMar 27, 2021Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural NetworksOct 1, 2015Scalable Electric Vehicle Charging ProtocolsAug 14, 2017PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic ApproachesJul 27, 2015Online Censoring for Large-Scale Regressions with Application to Streaming Big DataAug 30, 2025Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the Optimal Power FlowSep 2, 2025Frequency-Domain Characterization of Load Demand from Electrified HighwaysMar 3, 2019Designing reactive power control rules for smart inverters using support vector machinesSep 22, 2022Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case StudyMar 3, 2011Sparse Volterra and Polynomial Regression Models: Recoverability and Estimation