This book presents the application of some AI related optimization techniques in the operation and control of electric power systems. With practical applications and examples the use of functional analysis, simulated annealing, Tabu-search, Genetic algorithms and fuzzy systems for the optimization of power systems is discussed in detail. Preliminary mathematical concepts are presented before moving to more advanced material. Researchers and graduate students will benefit from this book. Engineers working in utility companies, operations and control, and resource management will also find this book useful.
CITATION STYLE
Modern Optimization Techniques. (2006). In Adaptive Business Intelligence (pp. 75–115). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-32929-9_6
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