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Spatio-temporal Granularity Co-optimization Based Monthly Electricity Consumption Forecasting

Kangping Li Yuqing Wang Ning Zhang Fei Wang Chunyi Huang

中国电机工程学会电力与能源系统学报（英文版）2023，Vol.9Issue(5)：1980-1984,5.

中国电机工程学会电力与能源系统学报（英文版）2023，Vol.9Issue(5)：1980-1984,5.DOI:10.17775/CSEEJPES.2022.01040

Spatio-temporal Granularity Co-optimization Based Monthly Electricity Consumption Forecasting

Kangping Li ¹Yuqing Wang ²Ning Zhang ³Fei Wang ⁴Chunyi Huang⁵

作者信息

1. College of Smart Energy,Shanghai Jiao Tong Uni-versity,Shanghai 200240,China||Department of Electrical Engineering,Tsinghua University,Beijing 100084,China
2. Department of Electrical Engineering,North China Electric Power University,Baoding 071003,China
3. Department of Electrical Engineering,Tsinghua University,Beijing 100084,China
4. Department of Electrical Engineering,North China Electric Power University,Baoding 071003,China||State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China||Hebei Key Laboratory of Distributed Energy Storage and Microgrid(North China Electric Power University),Baoding 071003,China
5. Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education(Shanghai Jiao Tong University),Shanghai 200240,China
折叠

摘要

关键词

Electricity consumption forecasting/Greedy clustering/Grid searching/Spatiotemporal

Key words

Electricity consumption forecasting/Greedy clustering/Grid searching/Spatiotemporal

引用本文复制引用

Kangping Li,Yuqing Wang,Ning Zhang,Fei Wang,Chunyi Huang..Spatio-temporal Granularity Co-optimization Based Monthly Electricity Consumption Forecasting[J].中国电机工程学会电力与能源系统学报（英文版）,2023,9(5):1980-1984,5.

基金项目

This work was supported by the National Natural Science Foundation of China(52107103),in part by the State Key Laboratory of Power System Operation and Control(SKLD22KM13). （52107103）

中国电机工程学会电力与能源系统学报（英文版）

OACSCD

ISSN：2096-0042

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