Power plant condenser performance forecasting using a non-fully connected artificial neural network

Energy ◽  
2001 ◽  
Vol 26 (1) ◽  
pp. 65-79 ◽  
Author(s):  
M.M Prieto ◽  
E Montañés ◽  
O Menéndez
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power Plant ◽  
Artificial Neural ◽  
Performance Forecasting ◽  
Fully Connected

Construction and Functions of Self-Study System for Power Plant Operation

2000 ◽  
Author(s):  
Shengli Tang ◽  
Zuwei He ◽  
Tao Chang ◽  
Liming Xuan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Expert System ◽  
Power Plant ◽  
Knowledge Base ◽  
Practical Experience ◽  
Plant Operation ◽  
Self Study ◽  
Power Plant Operation ◽  
Artificial Neural

Abstract In this paper, the Construction and functions of the self-study system for power plant operation is introduced. As a self-study system, it consists of two parts, a simulator and knowledge base. The knowledge base has been built by the combination of expert system and artificial neural network, which supports the system with practical experience and theoretic knowledge. The trainees’ knowledge can be improved by using the system. The realization of the intelligent training function, applications of expert system and artificial neural network are mainly introduced in this paper.

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