Review of Machine Learning in Power System

Zhibo Ma; Chi Zhang; Chen Qian

doi:10.1109/ISGT-Asia.2019.8881330

Review of Machine Learning in Power System

Zhibo Ma, Chi Zhang, Chen Qian

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

10 Citations (SciVal)

Abstract

The trend of decentralisation and decarbonisation have been developed over the years. This has brought certain challenges to the prediction and control of the energy system using conventional method. There are some recent technology breakthrough in Machine Learning which has made some of the objectives achievable in many different aspects especially for the non-linear tasks. This paper has focused on reviewing the available machine learning technologies applied on the fault forecasting and load forecasting in power system.

Original language	English
Title of host publication	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
Publisher	IEEE
Pages	3401-3406
Number of pages	6
ISBN (Electronic)	9781728135205
DOIs	https://doi.org/10.1109/ISGT-Asia.2019.8881330
Publication status	Published - 24 Oct 2019
Event	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 - Chengdu, China Duration: 21 May 2019 → 24 May 2019

Publication series

Name	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
ISSN (Print)	2378-8534
ISSN (Electronic)	2378-8542

Conference

Conference	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
Country/Territory	China
City	Chengdu
Period	21/05/19 → 24/05/19

Keywords

Deep learning
Demand Forecasting
Fault Forecasting
Machine learning

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISGT-Asia.2019.8881330

Cite this

Review of Machine Learning in Power System. / Ma, Zhibo; Zhang, Chi; Qian, Chen.
2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019. IEEE, 2019. p. 3401-3406 8881330 (2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Ma, Z, Zhang, C & Qian, C 2019, Review of Machine Learning in Power System. in 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019., 8881330, 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, IEEE, pp. 3401-3406, 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, Chengdu, China, 21/05/19. https://doi.org/10.1109/ISGT-Asia.2019.8881330

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Review of Machine Learning in Power System

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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