Research on intelligent control and optimization methods in power systems

HIGHLIGHTS

  • What: The research aims to improve the operational efficiency and stability of power systems providing theoretical support for the modern management of power systems. This model demonstrated high prediction accuracy in practical applications, making the company`s scheduling more efficient and reducing operating costs. Specifically, by analyzing historical data and market trends, the model could predict future electricity price changes in advance, helping market participants formulate reasonable trading strategies and avoid price fluctuation risks.
  • Who: Mingxin Xiao from the Xihua University, Chengdu, Sichuan, China have published the Article: Original Paper, in the Journal: (JOURNAL)
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