Power load forecasting combining deep learning models and improved CLPO algorithm.

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Bibliographic Details
Title: Power load forecasting combining deep learning models and improved CLPO algorithm.
Authors: Song J; Electric Power Dispatch Center, State Grid Gansu Electric Power Company, Lanzhou, China., Wei X; Digital Business Division, State Grid Gansu Electric Power Company, Lanzhou, China., Li Z; Digital Business Division, State Grid Gansu Electric Power Company, Lanzhou, China., Zhang X; Digital Communication Department, State Grid Wuwei Power Supply Company, Wuwei, China., Zhang G; Power Dispatch Center, State Grid Wuwei Power Supply Company, Wuwei, China., Wang L; Smart Energy Business Division, Gansu Tongxing Intelligent Technology Development Co., Ltd., Lanzhou, China.
Source: PloS one [PLoS One] 2026 Jun 29; Vol. 21 (6), pp. e0351428. Date of Electronic Publication: 2026 Jun 29 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0351428