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eess.SY2022★ 47 cited
An Online Data-Driven Method to Locate Forced Oscillation Sources from Power Plants Based on Sparse Identification of Nonlinear Dynamics (SINDy)
Yaojie Cai, Xiaozhe Wang, Geza Joos +1
Forced oscillations may jeopardize the secure operation of power systems. To mitigate forced oscillations, locating the sources is critical. In this paper, leveraging on Sparse Ide…
eess.SY2022
An Online Data-Driven Method for Microgrid Secondary Voltage and Frequency Control with Ensemble Koopman Modeling
Xun Gong, Xiaozhe Wang, Geza Joos
Low inertia, nonlinearity and a high level of uncertainty (varying topologies and operating conditions) pose challenges to microgrid (MG) systemwide operation. This paper proposes…
eess.SY2021★ 4 cited
Data-driven Model Predictive and Reinforcement Learning Based Control for Building Energy Management: a Survey
Huiliang Zhang, Sayani Seal, Di Wu +3
Building energy management is one of the core problems in modern power grids to reduce energy consumption while ensuring occupants' comfort. However, the building energy management…