Genetic algorithm-based daily power output forecasting for energy storage power stations.
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| Title: | Genetic algorithm-based daily power output forecasting for energy storage power stations. |
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| Authors: | Xi L; Information and Communication Branch, China Southern Power Grid Energy Storage Co. Ltd, Guangzhou, Guangdong, China., Zhong J; Information and Communication Branch, China Southern Power Grid Energy Storage Co. Ltd, Guangzhou, Guangdong, China., Yu S; Information and Communication Branch, China Southern Power Grid Energy Storage Co. Ltd, Guangzhou, Guangdong, China., Liao C; Information and Communication Branch, China Southern Power Grid Energy Storage Co. Ltd, Guangzhou, Guangdong, China., You J; Information and Communication Branch, China Southern Power Grid Energy Storage Co. Ltd, Guangzhou, Guangdong, China. |
| Source: | PloS one [PLoS One] 2026 Apr 24; Vol. 21 (4), pp. e0342331. Date of Electronic Publication: 2026 Apr 24 (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 |
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| DOI: | 10.1371/journal.pone.0342331 |
