An Abnormal Data Identification Method Based on Improved Generative Adversarial Network

Jie CHEN; Haotian ZHANG; Yi TANG

doi:10.12204/j.issn.1000-7229.2021.05.002

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Electric Power Construction ›› 2021, Vol. 42 ›› Issue (5) : 9-15. DOI: 10.12204/j.issn.1000-7229.2021.05.002

Key Technologies and Applications of Artificial Intelligence in Internet of Energy·Hosted by Associate Professor LIU Youbo, Associate Professor HU Wei, Dean WANG Yingxin and Senior Engineer GU Yujia·

An Abnormal Data Identification Method Based on Improved Generative Adversarial Network

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2021, 42(5): 9-15 https://doi.org/10.12204/j.issn.1000-7229.2021.05.002

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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
2020-08-09	2021-05-01
Issue Date
2021-05-06

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