Soft Computing Applications for Advancements in Power Systems
Book Details
Format
Hardback or Cased Book
Book Series
River Publishers Series in Power
ISBN-10
8770041415
ISBN-13
9788770041416
Publisher
River Publishers
Imprint
River Publishers
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 20th, 2024
Print length
260 Pages
Weight
453 grams
Ksh 19,800.00
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This book discusses real applications of soft computing techniques, which have proven to be excellent tools to overcome the challenges faced in power systems and related areas.
This book discusses real applications of soft computing (SC) in power systems. These SC techniques, inspired by the human mind and biological behavior, have proven to be excellent tools to overcome the challenges faced in power systems and related areas. The techniques are robust and provide low-cost solutions while also offering an effective solution for studying and modeling the behavior of renewable energy generation, operation of grid-connected renewable energy systems, and sustainable decision-making among alternatives. The tolerance of SC techniques to imprecision, uncertainty, partial truth, and approximation makes them highly useful alternatives to conventional techniques.
The rapid growth in SC techniques plays an important role in powerful representation, modeling paradigms and optimization mechanisms for solving power system issues such as power quality, reactive power control, oscillation and stability problems, renewable energy resource eval-uation, design of energy efficiency systems, economic load dispatch problems or very different energy system applications in smart grids.
The rapid growth in SC techniques plays an important role in powerful representation, modeling paradigms and optimization mechanisms for solving power system issues such as power quality, reactive power control, oscillation and stability problems, renewable energy resource eval-uation, design of energy efficiency systems, economic load dispatch problems or very different energy system applications in smart grids.
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