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Hybrid SDS and WPT-IBBO-DNM Based Model for Ultra-short Term Photovoltaic Prediction

Hui Hwang Goh Qinwen Luo Dongdong Zhang Hui Liu Wei Dai Chee Shen Lim Tonni Agustiono Kurniawan Kai Chen Goh

中国电机工程学会电力与能源系统学报（英文版）2023，Vol.9Issue(1)：66-76,11.

中国电机工程学会电力与能源系统学报（英文版）2023，Vol.9Issue(1)：66-76,11.DOI:10.17775/CSEEJPES.2021.04560

Hybrid SDS and WPT-IBBO-DNM Based Model for Ultra-short Term Photovoltaic Prediction

Hui Hwang Goh ¹Qinwen Luo ¹Dongdong Zhang ¹Hui Liu ¹Wei Dai ¹Chee Shen Lim ²Tonni Agustiono Kurniawan ³Kai Chen Goh⁴

作者信息

1. School of Electrical Engineering,Guangxi University,Nanning,Guangxi 530004,China
2. University of Southampton Malaysia,Iskandar Puteri 79200,Malaysia
3. College of the Environment and Ecology,Xiamen University,Fujian 361102,China
4. Department of Technology Management,Faculty of Construction Management and Business,University Tun Hussein Onn Malaysia,86400 Parit Raja,Johor,Malaysia
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摘要

关键词

Dendritic neural model/improved biogeography-based optimization/photovoltaic power forecasting/similar day selection/wavelet packet transform

Key words

Dendritic neural model/improved biogeography-based optimization/photovoltaic power forecasting/similar day selection/wavelet packet transform

引用本文复制引用

Hui Hwang Goh,Qinwen Luo,Dongdong Zhang,Hui Liu,Wei Dai,Chee Shen Lim,Tonni Agustiono Kurniawan,Kai Chen Goh..Hybrid SDS and WPT-IBBO-DNM Based Model for Ultra-short Term Photovoltaic Prediction[J].中国电机工程学会电力与能源系统学报（英文版）,2023,9(1):66-76,11.

基金项目

This work was supported in part by Guangxi University(No.A3020051008),and in part by the National Key Research and Development Program of China(No.2019YFE0118000). （No.A3020051008）

中国电机工程学会电力与能源系统学报（英文版）

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ISSN：2096-0042

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