Reconstruction and Intelligent Control for Power Plant

The book "Reconstruction and Intelligent Control for Power Plant" offers a comprehensive analysis of innovative research approaches to power plant control. The authors, Ling Wang, Chen Peng, and Chuanliang Cheng, present advanced methods for the cognitive reconstruction of temperature fields as well as for the intelligent adjustment and optimization of energy efficiency in power plants. By utilizing historical operating data and creative techniques, such as the reconstruction of the combustion field and deep reinforcement learning, a new framework for the intelligent control of power plants is established. This specialized book is aimed at researchers, engineers, and students in the fields of signal processing, image processing, and control engineering, providing valuable insights into the future of energy optimization.