Application of Coyote Optimization Algorithm Based on Mutation and Opposition-Based Learning in Optimal Configuration of Photovoltaic Intelligent Edge Terminal

Xiaotao JIANG; Lei FANG; Rui NIU; Weiya ZHANG; Jiaheng LIU; Leijiao GE

doi:10.12204/j.issn.1000-7229.2021.03.006

JIANG Xiaotao, FANG Lei, NIU Rui, ZHANG Weiya, LIU Jiaheng, GE Leijiao

Electric Power Construction ›› 2021, Vol. 42 ›› Issue (3) : 45-53.

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Electric Power Construction ›› 2021, Vol. 42 ›› Issue (3) : 45-53. DOI: 10.12204/j.issn.1000-7229.2021.03.006

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Application of Coyote Optimization Algorithm Based on Mutation and Opposition-Based Learning in Optimal Configuration of Photovoltaic Intelligent Edge Terminal

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2021, 42(3): 45-53 https://doi.org/10.12204/j.issn.1000-7229.2021.03.006

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Administrator：State Grid Corporation of China
Sponsors：
State Grid Economic and Technological Research Institute Co. Ltd
China Power Engineering Consulting Group Co., Ltd
China Electric Power Research Institute
Editor in Chief: Zhang Quan
Associate Editor-in-Chief:KANG Chongqing, BI Tianshu, LI Hui
Executive Editor-in-Chief:YANG Weihong, SHENG Yi
Editorial Director:WEI Xihui
CN: 11-2583/TM
ISSN: 1000-7229

Address: Tower A225, SGCC, Future Science & Technology Park, Beijing 102209, China
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Post Issue Number: 82-679
CODEN: DJIIAQ

Received	Published
2020-07-31	2021-03-01
Issue Date
2021-03-17

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