Annotation Covers methods originating in artificial intelligence research used to solve complex power system problems, including problems such as reactive power control, alarm analysis, fault diagnosis, protection systems, and load forecasting. Investigates methods including expert systems, fuzzy logic, neural networks, and genetic algorithms in terms of their applicability in power systems, covering basic principles, applications, and case studies. For professionals with backgrounds in power systems or artificial intelligence computing. Annotation c. by Book News, Inc., Portland, Or.In practice alternative generators must be run to reduce the power flow through overloaded lines in the network. The cost of ... Should a trial maintenance plan schedule a line for maintenance, its fitness is improved by the maintenance benefit.
|Title||:||Artificial Intelligence Techniques in Power Systems|
|Publisher||:||IET - 1997-01-01|