Review on deep learning applications in frequency analysis and control of modern power system-Reference-Cited by-同舟云学术

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Review on deep learning applications in frequency analysis and control of modern power system

Published:2022-03 Issue: Volume:136 Page:107744
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Zhang Yi,Shi Xiaohan,Zhang Hengxu,Cao Yongji,Terzija Vladimir

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference199 articles.

1. Achieving high renewable energy penetration in Western Australia using data digitization and machine learning;Tayal;Renew Sustain Energy Rev,2017

2. Big data issues in smart grid – A review;Tu;Renew Sustain Energy Rev,2017

3. Review of Internet of Things (LOT) in electric power and energy systems;Bedi;IEEE Internet Things J,2018

4. Extracting spatial-temporal characteristics of frequency dynamic in large-scale power grids;Ma;IEEE Trans Power Syst,2019

5. Adaptive online disturbance location considering anisotropy of frequency propagation speeds;Zhang;IEEE Trans Power Syst,2015

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