Application of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization

Application of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization

Abstract The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on...

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Bibliographic Details
Main Authors: Tianyi Zhu, Xin Guan, Chuan Chen, Xiaojing Cao, Caimeng Wang, Jiarong Liao
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Clean energy
Scheduling optimization
Particle swarm optimization
ESG big data platform
Artificial intelligence
Online Access:https://doi.org/10.1038/s41598-024-82798-6
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