Title :
Artificial intelligence and neural network applications in power systems
Author_Institution :
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
Abstract :
This paper reviews the applications of artificial intelligence and neural networks in power engineering. It first reports areas in power systems that artificial intelligence has been applied to. It then summarises the artificial intelligence techniques which have been employed and makes suggestions for the improvement of existing artificial intelligence tools. Following this, the paper concentrates on neural networks and their applications to power systems. The multi-layer feedforward network is introduced and the problems in establishing neural network approaches based on this network for power system applications are discussed. Future themes for further development in artificial intelligence and neural network applications in power systems are proposed
Keywords :
feedforward neural nets; learning (artificial intelligence); power system analysis computing; power system computer control; power system planning; artificial intelligence; multi-layer feedforward network; neural net training; neural network; power engineering; power system analysis; power system classification; power system control; power system identification; power system monitoring; power system operation; power system optimisation; power system planning; power systems; thermal generator scheduling;
Conference_Titel :
Advances in Power System Control, Operation and Management, 1993. APSCOM-93., 2nd International Conference on
Conference_Location :
IET
Print_ISBN :
0-85296-569-9
