research
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03/01/2023
Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms
Electrical power systems are increasing in size, complexity, as well as ...
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02/16/2023
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow
The Gaussian Process (GP) based Chance-Constrained Optimal Power Flow (C...
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09/26/2022
Power System Anomaly Detection and Classification Utilizing WLS-EKF State Estimation and Machine Learning
Power system state estimation is being faced with different types of ano...
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08/30/2022
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes
The alternating current (AC) chance-constrained optimal power flow (CC-O...
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07/21/2022
