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Hybrid Intelligence for Smart Grid Systems

By: (Edited by) Chinmay Chakraborty , (Edited by) Hee-Je Kim , (Edited by) Seelam VSV Prabhu Deva Kumar , (Edited by) Shyam Akashe

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Ksh 20,700.00

Format: Hardback or Cased Book

ISBN-10: 0367699095

ISBN-13: 9780367699093

Series: Advances in Intelligent Decision-Making, Systems Engineering, and Project Management

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: US

Country of Publication: GB

Publication Date: Oct 22nd, 2021

Print length: 188 Pages

Weight: 456 grams

Dimensions (height x width x thickness): 15.90 x 24.30 x 2.00 cms

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This book provides an overview of distributed control and distributed optimization theory with specific details on industrial applications to smart grid systems. It discusses the fundamental analysis and design schemes for developing actual working smart grids and covers all aspects concerning the conventional and nonconventional methods.

This book provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems. It discusses the fundamental analysis and design schemes for developing actual working smart grids and covers all aspects concerning the conventional and nonconventional methods of their use. 

Hybrid Intelligence for Smart Grid Systems provides an overview of a smart grid, along with its needs, benefits, challenges, and existing structure and describes the inverter topologies adopted for integrating renewable power, and provides an overview of its needs, benefits, challenges, and possible future technologies.

This pioneering book is a must-read for researchers, engineering professionals, and students, giving them the tools needed to move from the concept of a smart grid to its actual design and implementation. Moreover, it will enable regulators, policymakers, and energy executives to understand the future of energy delivery systems towards safe, economical, high-quality power delivery in a dynamic and demanding environment.


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