电力系统自动化2024，Vol.48Issue(4)：169-191,23.DOI:10.7500/AEPS20230509007
可解释人工智能在电力系统中的应用综述与展望
Review and Prospect of Explainable Artificial Intelligence and Its Application in Power Systems
摘要
Abstract
Explainable artificial intelligence(XAI),as a new type of artificial intelligence(AI)technologies,can present the logic of the AI process,reveal the AI black-box knowledge,and improve the credibility of the AI results.The deep coupling between XAI and power systems may accelerate the AI technology application in the power system and assist with the safety and stability of human-machine interaction.Therefore,this paper reviews the historical context,development needs,and hot technologies of XAI in the power system,summarizes its applications in source-load forecasting,operation control,fault diagnosis,and electricity market,and explores the application prospects of XAI in the power system around aspects such as interpretability,iterative framework,and number-matrix fusion.This paper aims to provide theoretical references and practical ideas for promoting the intelligent transformation and iterative human-machine interaction of the power system.关键词
电力系统/人工智能/可解释性/机器学习Key words
power system/artificial intelligence/explainability/machine learning引用本文复制引用
王小君,窦嘉铭,刘曌,刘畅宇,蒲天骄,和敬涵..可解释人工智能在电力系统中的应用综述与展望[J].电力系统自动化,2024,48(4):169-191,23.基金项目
国家自然科学基金资助项目(52377071) （52377071）
国家自然科学基金青年基金资助项目(52107068). This work is supported by National Natural Science Foundation of China(No.52377071,No.52107068). （52107068）
