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Applications of fuzzy logic in plann...
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Rahmani-Andebili, Mehdi.
Applications of fuzzy logic in planning and operation of smart grids
Record Type:
Electronic resources : Monograph/item
Title/Author:
Applications of fuzzy logic in planning and operation of smart gridsedited by Mehdi Rahmani-Andebili.
other author:
Rahmani-Andebili, Mehdi.
Published:
Cham :Springer International Publishing :2021.
Description:
vii, 229 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Fuzzy logic.
Online resource:
https://doi.org/10.1007/978-3-030-64627-1
ISBN:
9783030646271$q(electronic bk.)
Applications of fuzzy logic in planning and operation of smart grids
Applications of fuzzy logic in planning and operation of smart grids
[electronic resource] /edited by Mehdi Rahmani-Andebili. - Cham :Springer International Publishing :2021. - vii, 229 p. :ill. (some col.), digital ;24 cm. - Power systems,1612-1287. - Power systems..
Chapter 1: Fuzzy-based Optimal Integration of Multiple Distributed Generations -- Chapter 2: Fuzzy logic-based planning and operation of a resilient microgrid -- Chapter 3: Evaluation and Assessment of Smart Grid Reliability Using Fuzzy Multi-Criteria Decision-Making -- Chapter 4: Fuzzy Realizations of Adaptive Autonomy in Smart Grid -- Chapter 5: Application of Fuzzy Logic in the Operation of a V2G system in Smart Grid -- Chapter 6: Fuzzy Optimization for Uncertain Power Market Operations.
Fuzzy logic has vast applications in power and electrical engineering. This collection is the first book to cover research advancements in the application of fuzzy logic in the planning and operation of smart grids. A global group of researchers and scholars present innovative approaches to fuzzy-based smart grid planning and operation, cover theoretical concepts and experimental results of the application of fuzzy-based techniques, and define and apply these techniques to deal with smart grid issues. Applications of Fuzzy Logic in Planning and Operation of Smart Grids is an ideal resource for researchers on the theory and application of fuzzy logic, practicing engineers working in electrical power engineering and power system planning, and post-graduates and students in advanced graduate-level courses. The first book to cover fuzzy logic in planning and operation of smart grids; Defines and applies fuzzy-based techniques; Covers theoretical concepts and applications.
ISBN: 9783030646271$q(electronic bk.)
Standard No.: 10.1007/978-3-030-64627-1doiSubjects--Topical Terms:
181981
Fuzzy logic.
LC Class. No.: QA9.64 / .A66 2021
Dewey Class. No.: 511.313
Applications of fuzzy logic in planning and operation of smart grids
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Chapter 1: Fuzzy-based Optimal Integration of Multiple Distributed Generations -- Chapter 2: Fuzzy logic-based planning and operation of a resilient microgrid -- Chapter 3: Evaluation and Assessment of Smart Grid Reliability Using Fuzzy Multi-Criteria Decision-Making -- Chapter 4: Fuzzy Realizations of Adaptive Autonomy in Smart Grid -- Chapter 5: Application of Fuzzy Logic in the Operation of a V2G system in Smart Grid -- Chapter 6: Fuzzy Optimization for Uncertain Power Market Operations.
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Fuzzy logic has vast applications in power and electrical engineering. This collection is the first book to cover research advancements in the application of fuzzy logic in the planning and operation of smart grids. A global group of researchers and scholars present innovative approaches to fuzzy-based smart grid planning and operation, cover theoretical concepts and experimental results of the application of fuzzy-based techniques, and define and apply these techniques to deal with smart grid issues. Applications of Fuzzy Logic in Planning and Operation of Smart Grids is an ideal resource for researchers on the theory and application of fuzzy logic, practicing engineers working in electrical power engineering and power system planning, and post-graduates and students in advanced graduate-level courses. The first book to cover fuzzy logic in planning and operation of smart grids; Defines and applies fuzzy-based techniques; Covers theoretical concepts and applications.
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https://doi.org/10.1007/978-3-030-64627-1
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