Non-parametric probabilistic load flow using Gaussian process learning

Non-parametric probabilistic load flow using Gaussian process learning

The load flow problem is fundamental to characterize the equilibrium behavior of a power system. Uncertain power injections such as those due to demand variations and intermittent renewable resources will change the system's equilibrium unexpectedly, and thus potentially jeopardizing the system...

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書目詳細資料
Main Authors:	Pareek, Parikshit, Wang, Chuan, Nguyen, Hung Dinh
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2021
主題:	Engineering::Electrical and electronic engineering Probabilistic Power FLow Gaussian Process Learning
在線閱讀:	https://hdl.handle.net/10356/150720
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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