Research on Power Load Semi-supervised Clustering Based on Improved Ant Colony Algorithm

Qingang DUAN; Haohao WANG; Zidong WU; Yi WANG; Tao ZHU; Ping DONG; Mingbo LIU

doi:10.12204/j.issn.1000-7229.2020.10.009

DUAN Qingang, WANG Haohao, WU Zidong, WANG Yi, ZHU Tao, DONG Ping, LIU Mingbo

Electric Power Construction ›› 2020, Vol. 41 ›› Issue (10) : 81-89.

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Electric Power Construction ›› 2020, Vol. 41 ›› Issue (10) : 81-89. DOI: 10.12204/j.issn.1000-7229.2020.10.009

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Research on Power Load Semi-supervised Clustering Based on Improved Ant Colony Algorithm

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2020, 41(10): 81-89 https://doi.org/10.12204/j.issn.1000-7229.2020.10.009

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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
2020-05-18	2020-10-01
Issue Date
2020-09-30

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