CLC number: TM73;TP18
On-line Access: 2022-05-19
Received: 2020-12-24
Revision Accepted: 2022-05-19
Crosschecked: 2021-03-22
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Gang HUANG, Fei WU, Chuangxin GUO. Smart grid dispatch powered by deep learning: a survey[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2000719 @article{title="Smart grid dispatch powered by deep learning: a survey", %0 Journal Article TY - JOUR
深度学习驱动的智能电网调度:综述1之江实验室,中国杭州市,311121 2浙江大学计算机科学与技术学院,中国杭州市,310027 3浙江大学电气工程学院,中国杭州市,310027 摘要:电力调度是智能电网运行的一大核心问题,其目的是在满足时空变化的电力负荷条件下提供电网的最优运行点。这一功能需要在一天内每隔几分钟运行一次,因此快速、准确的调度决策方法至关重要。但是,由于问题的复杂性,可靠且高效的决策方法仍在不断探索的过程中。随着可再生能源的大规模并网以及灾害性气候的不断恶化,智能电网对调度决策方法提出了更为严苛的要求。近年来,以深度学习为代表的人工智能方法在不少领域取得巨大成功,因此深度学习也被电气工程领域寄予厚望,国内外研究者开始重新思考智能电网的调度决策问题。本文即从深度学习这一角度对智能电网调度决策相关研究进行综述,旨在促进智能电网领域发展的同时促进人工智能生态的发展。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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