Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks

Yaopeng Han; Chenxi Li; Siqi Chen; Jinghao Zhao; Yajun Tian; Jun Wang

doi:10.1371/journal.pone.0334828

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Open Access

Peer-reviewed

Research Article

Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks

Yaopeng Han,

Roles Conceptualization, Data curation, Investigation, Methodology, Visualization, Writing – original draft

Affiliations College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, Liaoning, China, Extended Energy Big Data and Strategy Research Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China, Shandong Energy Institute, Qingdao, Shandong, China, Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
⨯
Chenxi Li,

Roles Data curation, Resources

Affiliation College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, Liaoning, China
⨯
Siqi Chen,

Roles Data curation, Resources

Affiliation College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, Liaoning, China
⨯
Jinghao Zhao,

Roles Conceptualization, Formal analysis, Methodology, Supervision, Validation, Writing – review & editing

Affiliations Extended Energy Big Data and Strategy Research Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China, Shandong Energy Institute, Qingdao, Shandong, China, Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China

https://orcid.org/0009-0009-7959-5396

⨯
Yajun Tian,

Roles Funding acquisition, Supervision, Writing – review & editing

Affiliations Extended Energy Big Data and Strategy Research Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China, Shandong Energy Institute, Qingdao, Shandong, China, Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
⨯
Jun Wang

Roles Project administration, Writing – review & editing

* E-mail: wj_software@hotmail.com

Affiliation College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, Liaoning, China

https://orcid.org/0009-0009-5629-5016

⨯

Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks

Yaopeng Han,
Chenxi Li,
Siqi Chen,
Jinghao Zhao,
Yajun Tian,
Jun Wang

Published: November 14, 2025
https://doi.org/10.1371/journal.pone.0334828

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