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![]() | Automatic Learning Techniques in Power Systems (Power Electronics and Power Systems) by Louis A. Wehenkel ISBN-10: 9780792380689 ISBN-10: 0-7923-8068-1 ISBN-13: 9780792380689 ISBN-13: 978-0-7923-8068-9 Hardcover 1997-11-30 Springer Find Lowest Price | |
Editorials | ||
Product Description Automatic learning is a complex, multidisciplinary field of research and development, involving theoretical and applied methods from statistics, computer science, artificial intelligence, biology and psychology. Its applications to engineering problems, such as those encountered in electrical power systems, are therefore challenging, while extremely promising. More and more data have become available, collected from the field by systematic archiving, or generated through computer-based simulation. To handle this explosion of data, automatic learning can be used to provide systematic approaches, without which the increasing data amounts and computer power would be of little use. Automatic Learning Techniques in Power Systems is dedicated to the practical application of automatic learning to power systems. Power systems to which automatic learning can be applied are screened and the complementary aspects of automatic learning, with respect to analytical methods and numerical simulation, are investigated. This book presents a representative subset of automatic learning methods - basic and more sophisticated ones - available from statistics (both classical and modern), and from artificial intelligence (both hard and soft computing). The text also discusses appropriate methodologies for combining these methods to make the best use of available data in the context of real-life problems. Automatic Learning Techniques in Power Systems is a useful reference source for professionals and researchers developing automatic learning systems in the electrical power field. | ||
Reviews | ||
Did not serve its price This book did not serve its price for a couple of reasons. First, the application to power systems, which the book is about, is poor and insufficient. Second, the book discusses results without showing how the problem is formulated, or how automatic learning technique is applied to the problem. | ||
Disappointed There is really "no beef" in the book. A small tiny book with 4 cm margin from the bottom, many blank counted pages. Some chapters constitute of only four pages. The application in power systems is not sufficient and very week. I would like the author to revise it and bring a better a book. I am disappointed when I bought this book. | ||