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Data-sequence Modeling Based Causal Evaluation Method for Power Systems and Spatiotemporal Causality Variation Patterns

Qi Chen Gang Mu Hongbo Liu Changgang Wang

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(4)：1429-1441,13.

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(4)：1429-1441,13.DOI:10.17775/CSEEJPES.2024.03030

Data-sequence Modeling Based Causal Evaluation Method for Power Systems and Spatiotemporal Causality Variation Patterns

Qi Chen ¹Gang Mu ¹Hongbo Liu ¹Changgang Wang¹

作者信息

1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education(Northeast Electric Power University),Jilin 132012,China
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摘要

关键词

Data-sequence modeling/full variable amplitude causal index/power system operation/SCADA data sequences/spatiotemporal causality variation patterns

Key words

Data-sequence modeling/full variable amplitude causal index/power system operation/SCADA data sequences/spatiotemporal causality variation patterns

引用本文复制引用

Qi Chen,Gang Mu,Hongbo Liu,Changgang Wang..Data-sequence Modeling Based Causal Evaluation Method for Power Systems and Spatiotemporal Causality Variation Patterns[J].中国电机工程学会电力与能源系统学报（英文版）,2025,11(4):1429-1441,13.

基金项目

This work was supported by the National Natural Science Foundation of China(51877034). （51877034）

中国电机工程学会电力与能源系统学报（英文版）

ISSN：2096-0042

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