Ultra-short-term Load Forecasting Using Hybrid Neural Network Based on Parallel Multi-model Combination

Jiayi ZHUANG; Guohua YANG; Haofeng ZHENG; Yudong WANG; Ruikun HU; Xu DING

doi:10.12204/j.issn.1000-7229.2020.10.001

ZHUANG Jiayi, YANG Guohua, ZHENG Haofeng, WANG Yudong, HU Ruikun, DING Xu

Electric Power Construction ›› 2020, Vol. 41 ›› Issue (10) : 1-8.

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Electric Power Construction ›› 2020, Vol. 41 ›› Issue (10) : 1-8. DOI: 10.12204/j.issn.1000-7229.2020.10.001

Ultra-short-term Load Forecasting Using Hybrid Neural Network Based on Parallel Multi-model Combination

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2020, 41(10): 1-8 https://doi.org/10.12204/j.issn.1000-7229.2020.10.001

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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
2020-02-09	2020-10-01
Issue Date
2020-09-30

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