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09/30/2020
Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation
The ODE method has been a workhorse for algorithm design and analysis si...
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04/13/2020
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition
As electric grids experience high penetration levels of renewable genera...
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10/14/2019
Physics-Informed Deep Neural Network Method for Limited Observability State Estimation
The precise knowledge regarding the state of the power grid is important...
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02/06/2019
Robust Matrix Completion State Estimation in Distribution Systems
Due to the insufficient measurements in the distribution system state es...
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10/03/2018
