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Intelligent methods in electrical power systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent methods in electrical power systemsedited by Chetan B. Khadse, Ishaan R. Kale, Apoorva S. Shastri.
other author:	Khadse, Chetan B.
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xiii, 171 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electric power systemsMathematical models.
Online resource:	https://doi.org/10.1007/978-981-97-5718-3
ISBN:	9789819757183$q(electronic bk.)

Intelligent methods in electrical power systems
Intelligent methods in electrical power systems[electronic resource] /edited by Chetan B. Khadse, Ishaan R. Kale, Apoorva S. Shastri. - Singapore :Springer Nature Singapore :2024. - xiii, 171 p. :ill. (chiefly color), digital ;24 cm. - Engineering optimization: methods and applications,2731-4057. - Engineering optimization: methods and applications..

Review on intelligent methods in Electrical power systems -- Investigation of Electric Load Forecasting Methods: A Weka Application (Regression and Optimization) -- Integration of Intelligent Systems for Efficient Smart Grid Management -- An Application of Artificial Bee Colony and Cohort Intelligence in Automatic Generation Control of Thermal Power System -- Distribution System Losses and Its Allocation: Effects of Load Power Factor and Distributed Generations -- IoT based Intelligent Home Automation System using IFTTT with Google Assistant -- A review on Meta-heuristic Optimization Methods for Efficient Power System Operation -- Ice thickness control circuit to automate the milk chilling system -- SCGB Neural Network based Micro-grid AC Side Fault Analysis -- Artificial intelligence based system for detection and classification of faults in Induction motor.

This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering. It covers various power system applications including efficient power system operation, load forecasting, fault analysis, home automation and efficient smart grid management. Each application is accompanied by case studies and a literature review in self-contained chapters. The book is dedicated to study the effectiveness of intelligent methods in addressing the power system problems and its mitigation using optimization algorithms. It discusses several optimization algorithms such as random forest algorithm, metaheuristic algorithm, scaled conjugate gradient descent algorithm, artificial bee colony algorithm etc. and their usability in intelligent decision makers for the various optimization problems in electrical engineering. This timely book serves as a practical guide and reference sources for students, researchers and professionals.

ISBN: 9789819757183$q(electronic bk.)

Standard No.: 10.1007/978-981-97-5718-3doiSubjects--Topical Terms:

238335
Electric power systems
--Mathematical models.

LC Class. No.: TK1005

Dewey Class. No.: 621.31

Intelligent methods in electrical power systems
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245 0 0 $a Intelligent methods in electrical power systems $h [electronic resource] / $c edited by Chetan B. Khadse, Ishaan R. Kale, Apoorva S. Shastri.
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300 $a xiii, 171 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Engineering optimization: methods and applications, $x 2731-4057
505 0 $a Review on intelligent methods in Electrical power systems -- Investigation of Electric Load Forecasting Methods: A Weka Application (Regression and Optimization) -- Integration of Intelligent Systems for Efficient Smart Grid Management -- An Application of Artificial Bee Colony and Cohort Intelligence in Automatic Generation Control of Thermal Power System -- Distribution System Losses and Its Allocation: Effects of Load Power Factor and Distributed Generations -- IoT based Intelligent Home Automation System using IFTTT with Google Assistant -- A review on Meta-heuristic Optimization Methods for Efficient Power System Operation -- Ice thickness control circuit to automate the milk chilling system -- SCGB Neural Network based Micro-grid AC Side Fault Analysis -- Artificial intelligence based system for detection and classification of faults in Induction motor.
520 $a This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering. It covers various power system applications including efficient power system operation, load forecasting, fault analysis, home automation and efficient smart grid management. Each application is accompanied by case studies and a literature review in self-contained chapters. The book is dedicated to study the effectiveness of intelligent methods in addressing the power system problems and its mitigation using optimization algorithms. It discusses several optimization algorithms such as random forest algorithm, metaheuristic algorithm, scaled conjugate gradient descent algorithm, artificial bee colony algorithm etc. and their usability in intelligent decision makers for the various optimization problems in electrical engineering. This timely book serves as a practical guide and reference sources for students, researchers and professionals.
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650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Electrical Power Engineering. $3 919410
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Algorithms. $3 184661
650 2 4 $a Optimization. $3 274084
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700 1 $a Kale, Ishaan R. $3 956317
700 1 $a Shastri, Apoorva S. $3 963967
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856 4 0 $u https://doi.org/10.1007/978-981-97-5718-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)