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Classified modeling and day-ahead optimal scheduling of multi-type adjustable industrial loads in industrial microgrid using improved approximate dynamic programming.

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Bibliographic Details
Title:	Classified modeling and day-ahead optimal scheduling of multi-type adjustable industrial loads in industrial microgrid using improved approximate dynamic programming.
Authors:	Sun, Tao¹ (AUTHOR) 202310182841@mail.scut.edu.cn, Yang, Ping¹ (AUTHOR), Sun, Yingxuan¹ (AUTHOR), Luo, Xin² (AUTHOR), Lu, Jiaming² (AUTHOR), Duan, Kaiyue² (AUTHOR)
Source:	Scientific Reports. 11/21/2025, Vol. 15 Issue 1, p1-19. 19p.
Database:	Academic Search Ultimate
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Description
ISSN:	20452322
DOI:	10.1038/s41598-025-25389-3

​​Classified modeling and day-ahead optimal scheduling of multi-type adjustable industrial loads in industrial microgrid using improved approximate dynamic programming.