TY  - GEN
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.
DO  - 10.1007/978-981-19-5574-7
DO  - doi
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.
T1  - Reconstruction and intelligent control for power plant /
AU  - Peng, Chen,
AU  - Cheng, Chuanliang,
AU  - Wang, Ling,
CN  - TJ217.5
ID  - 1452968
KW  - Intelligent control systems.
KW  - Electric power-plants
SN  - 9789811955747
SN  - 9811955743
TI  - Reconstruction and intelligent control for power plant /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-5574-7
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-5574-7
ER  -