Bayesian Deep Learning for Dynamic Power System State Prediction Considering Renewable Energy Uncertainty

Modern power systems are incorporated with distributed energy sources to be environmental-friendly and cost-effective. However, due to the uncertainties of the system integrated with renewable energy sources, effective strategies need to be adopted to stabilize the entire power systems. Hence, the s...

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Bibliographic Details

Published in:	Journal of Modern Power Systems and Clean Energy
Main Authors:	Shiyao Zhang, James J.Q. Yu
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Subjects:	Bayesian deep learning data analytics Newton-Raphson power flow renewable energy source system state
Online Access:	https://ieeexplore.ieee.org/document/9500113/