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With the continuous improvement of industrial automation, the traditional load distribution method of thermal power plant units has gradually failed to meet the needs of the modern power system. In order to pursue higher energy efficiency and economy, thermal power plants have begun to introduce advanced algorithms based on artificial intelligence, especially neural network technology, to achieve more intelligent and accurate optimal distribution of unit loads. In this article, we will detail how neural network algorithms can achieve this in thermal power plants and illustrate the significant benefits it brings.

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Optimal Load Allocation of Thermal Power Plant Units Based on Neural Network Algorithm

  • 会议论文

  • 发表日期：

    2026年

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  • Dawei Jiang,
  • Li Niu,
  • Jingwei Han

摘要

With the continuous improvement of industrial automation, the traditional load distribution method of thermal power plant units has gradually failed to meet the needs of the modern power system. In order to pursue higher energy efficiency and economy, thermal power plants have begun to introduce advanced algorithms based on artificial intelligence, especially neural network technology, to achieve more intelligent and accurate optimal distribution of unit loads. In this article, we will detail how neural network algorithms can achieve this in thermal power plants and illustrate the significant benefits it brings.