Automatic Learning Techniques in Power Systems
Louis A. Wehenkel
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Description for Automatic Learning Techniques in Power Systems
Paperback. Series: Power Electronics and Power Systems. Num Pages: 309 pages, biography. BIC Classification: THR; UGD; UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 17. Weight in Grams: 486.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
309
Condition
New
Series
Power Electronics and Power Systems
Number of Pages
280
Place of Publication
New York, NY, United States
ISBN
9781461374893
SKU
V9781461374893
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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