An online dynamic security assessment integrated scheme for power systems based on sparse multinomial naive bayes and canonical correlation forest-Reference-Cited by-同舟云学术

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An online dynamic security assessment integrated scheme for power systems based on sparse multinomial naive bayes and canonical correlation forest

Published:2024-09 Issue: Volume:39 Page:101438
ISSN:2352-4677
Container-title:Sustainable Energy, Grids and Networks
language:en
Short-container-title:Sustainable Energy, Grids and Networks

Author:

Liu Songkai,Li Zhenghao,Li Shichun,Li Zhenxing,Miao Shuwei,Zhang Yating,Liu Shuchi,Hu Jingzhe,Ruan Zhaohua,Xiao Maoxiang,Sun Jinming,Cui Ziqi,Yang Mingfei,Zhou Qian,Zhao Wenbo

Publisher

Elsevier BV

Reference29 articles.

1. Toward the prediction level of situation awareness for electric power systems using CNN-LSTM network;Wang;IEEE Trans. Ind. Inf.,2021

2. “Distributed, neurodynamic-based approach for economic dispatch in an integrated energy system;Yi;IEEE Trans. Ind. Inf.,2020

3. An intelligent wide area synchrophasor based system for predicting and mitigating transient instabilities;Hashiesh;IEEE Trans. Smart Grid,2012

4. On the accuracy versus transparency trade-off of data-mining models for fast-response PMU-based catastrophe predictors;Kamwa;IEEE Trans. Smart Grid,2012

5. “Accounting for uncertainties due to high-impact low-probability events in power system development;Bakken;Electr. Power Syst. Res.,2021

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