TY  - GEN
AB  - The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control for power plants, and so on, using historical power plant operation data and creative methods such as reconstruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection, image processing, and control engineering.
AU  - Peng, Chen,
AU  - Cheng, Chuanliang,
AU  - Wang, Ling,
CN  - TJ217.5
DO  - 10.1007/978-981-19-5574-7
DO  - doi
ID  - 1452968
KW  - Intelligent control systems.
KW  - Electric power-plants
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-5574-7
N2  - The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control for power plants, and so on, using historical power plant operation data and creative methods such as reconstruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection, image processing, and control engineering.
SN  - 9789811955747
SN  - 9811955743
T1  - Reconstruction and intelligent control for power plant /
TI  - Reconstruction and intelligent control for power plant /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-5574-7
ER  -