Go back

Applied Mathematics For Restructured Electric Power Systems Optimization Control And Computational Intelligence(2005th Edition)

Authors:

Joe H Chow ,Felix F Wu ,James A Momoh

Free applied mathematics for restructured electric power systems optimization control and computational
10 ratings
Cover Type:Hardcover
Condition:Used

In Stock

Shipment time

Expected shipping within 2 Days
Access to 10 Million+ solutions Free
Ask 10 Questions from expert 200,000+ Expert answers
7 days-trial

Total Price:

$0

List Price: $66.90 Savings: $66.9(100%)

Book details

ISBN: 0387234705, 978-0387234700

Book publisher: Springer

Get your hands on the best-selling book Applied Mathematics For Restructured Electric Power Systems Optimization Control And Computational Intelligence 2005th Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.

Book Summary: Applied Mathematics For Restructured Electric Power Systems: Optimization, Control, And Computational Intelligence Consists Of Chapters Based On Work Presented At A National Science Foundation Workshop Organized In November 2003. The Theme Of The Workshop Was The Use Of Applied Mathematics To Solve Challenging Power System Problems. The Areas Included Control, Optimization, And Computational Intelligence. In Addition To The Introductory Chapter, This Book Includes 12 Chapters Written By Renowned Experts In Their Respected Fields. Each Chapter Follows A Three-part Format: (1) A Description Of An Important Power System Problem Or Problems, (2) The Current Practice And/or Particular Research Approaches, And (3) Future Research Directions. Collectively, The Technical Areas Discussed Are Voltage And Oscillatory Stability, Power System Security Margins, Hierarchical And Decentralized Control, Stability Monitoring, Embedded Optimization, Neural Network Control With Adaptive Critic Architecture, Control Tuning Using Genetic Algorithms, And Load Forecasting And Component Prediction. This Volume Is Intended For Power Systems Researchers And Professionals Charged With Solving Electric And Power System Problems.