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Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks
Loi Lei Lai
€ 314.93
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Description for Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks
Hardback. This text on evolutionary computation presents an account of neural network and evolutionary programming applications as optimization techniques in electric power systems. It provides a treatment of evolutionary programming and neural network applications to power system optimization problems. Num Pages: 286 pages, bibliography, index. BIC Classification: TJ; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 250 x 181 x 25. Weight in Grams: 676.
Cutting-edge research indicates that evolutionary programming is set to emerge as the dominant optimisation technique in the fast-changing power industry. Combining theory and practice, Intelligent System Applications in Power Engineering capitalises on the potential of neural networks and evolutionary computation to resolve real-world power engineering problems such as load forecasting, power system operation and planning optimisation. Unlike existing optimisation methods,...
Read moreProduct Details
Format
Hardback
Publication date
1998
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
286
Condition
New
Number of Pages
288
Place of Publication
New York, United States
ISBN
9780471980957
SKU
V9780471980957
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Loi Lei Lai
Loi Lei Lai graduated from Aston University in Birmingham with a BSc and a PhD. He was awarded a DSc by City University London. He is also an honrorary graduate of City University. In 1984, he was appointed Senior Lecturer at Staffordshire Polytechnic. From 1986 to 1987, he was a Royal Academy of Engineering Industrial Fellow to both GEC Alsthom...
Read moreReviews for Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks
"It is apparent that most topics are well described, but some lack fair treatment...the book is designed better as a reference book...which should help engineers and researchers appreciate the recent advances in this area." (Power Engineering Journal, February 1999) "This book describes ANNs and extensions...in a general way." (Aslib Book Guide, Vol. 64, No. 1, January 1999)