Power system reliability is in the focus of intensive study due to its critical role in providing energy supply to the modern society. This book is not aimed at providing the overview of the state of the art in power system reliability. On the contrary, it describes application of some new specific techniques: universal generating function method and its combination with Monte Carlo simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm. The book can be considered as complementary to power system reliability textbooks. It is suitable for different types of readers. It primarily addresses practising reliability engineers and researchers who have an interest in reliability and performability analysis of power systems. It can also be used as a textbook for senior undergraduate or graduate courses in electrical engineering.
| ISBN: | 9783540778103 |
| Publication date: | 7th July 2008 |
| Author: | David Elmakias |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Hardback |
| Pagination: | 404 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Maths for engineers Artificial intelligence |
Power system reliability is in the focus of intensive study due to its critical role in providing energy supply to the modern society. This book is not aimed at providing the overview of the state of the art in power system reliability.
New Computational Methods in Power System Reliability features in the following genres: Maths for engineers, Artificial intelligence
Hardback. £173.70, down from the £193.00 cover price. Not Available.
New Computational Methods in Power System Reliability was written by David Elmakias and published by Springer an imprint of Springer Berlin Heidelberg
New Computational Methods in Power System Reliability has 404 pages
Yes it is part of Studies in Computational Intelligence series
£173.70, reduced from £193.00. Not Available.