基于图表示学习的居民用电行为识别与能源管理

IF 8.7 1区 工程技术 Q1 ENERGY & FUELS
Xinpei Chen, Tao Yu, Zhenning Pan, Zihao Wang, Shengchun Yang
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引用次数: 1

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Graph representation learning-based residential electricity behavior identification and energy management
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来源期刊
CiteScore
20.10
自引率
8.20%
发文量
43
审稿时长
4 weeks
期刊介绍: Protection and Control of Modern Power Systems (PCMP) is the first international modern power system protection and control journal originated in China. The journal is dedicated to presenting top-level academic achievements in this field and aims to provide a platform for international researchers and engineers, with a special focus on authors from China, to maximize the papers' impact worldwide and contribute to the development of the power industry. PCMP is sponsored by Xuchang Ketop Electrical Research Institute and is edited and published by Power System Protection and Control Press. PCMP focuses on advanced views, techniques, methodologies, and experience in the field of protection and control of modern power systems to showcase the latest technological achievements. However, it is important to note that the journal will cease to be published by SpringerOpen as of 31 December 2023. Nonetheless, it will continue in cooperation with a new publisher.
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