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Intelligent paradigms for smart grid...

Vinoth Kumar, B.

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Intelligent paradigms for smart grid and renewable energy systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent paradigms for smart grid and renewable energy systems/ edited by B. Vinoth Kumar ... [et al.].
其他作者:	Vinoth Kumar, B.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xii, 390 p. :ill., digital ;24 cm.
內容註:	Artificial Swarm Intelligence - A Paradigm Shift in Prediction, Decision Making and Diagnosis -- Robust Optimal Tuning of UPFC using Single Objective Optimization Algorithm -- Hybrid Sensorless MPPT Algorithm for Detecting Fast Irradiation Changes and Partial Shading Conditions on PV Systems -- A New Model of Demand Response in Smart Grid -- A Smart Bidirectional Power Interface between Smart Grid and Electric Vehicle -- Nature Inspired Optimization Algorithms for renewable energy generation, distribution and management - A comprehensive review -- Learning Automata and Soft Computing Techniques based Maximum Power Point Tracking Techniques for Solar PV Systems -- Fuzzy Logic Controller based Plug-In EV Battery Charger -- Nature Inspired Algorithms for Maximum Power Point Tracking in Photovoltaic Systems under Partially Shaded Conditions -- Soft Computing Techniques-Based Low Voltage Ride Through control of Doubly Fed Induction Wind Generator -- Harmonic Current Estimation of a Non-Linear Load Using Artificial Neural Network -- Demand Response in Smart Residential Buildings.
Contained By:	Springer Nature eBook
標題:	Smart power grids - Data processing. -
電子資源:	https://doi.org/10.1007/978-981-15-9968-2
ISBN:	9789811599682

Intelligent paradigms for smart grid and renewable energy systems
Intelligent paradigms for smart grid and renewable energy systems[electronic resource] /edited by B. Vinoth Kumar ... [et al.]. - Singapore :Springer Singapore :2021. - xii, 390 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7565. - Algorithms for intelligent systems..

Artificial Swarm Intelligence - A Paradigm Shift in Prediction, Decision Making and Diagnosis -- Robust Optimal Tuning of UPFC using Single Objective Optimization Algorithm -- Hybrid Sensorless MPPT Algorithm for Detecting Fast Irradiation Changes and Partial Shading Conditions on PV Systems -- A New Model of Demand Response in Smart Grid -- A Smart Bidirectional Power Interface between Smart Grid and Electric Vehicle -- Nature Inspired Optimization Algorithms for renewable energy generation, distribution and management - A comprehensive review -- Learning Automata and Soft Computing Techniques based Maximum Power Point Tracking Techniques for Solar PV Systems -- Fuzzy Logic Controller based Plug-In EV Battery Charger -- Nature Inspired Algorithms for Maximum Power Point Tracking in Photovoltaic Systems under Partially Shaded Conditions -- Soft Computing Techniques-Based Low Voltage Ride Through control of Doubly Fed Induction Wind Generator -- Harmonic Current Estimation of a Non-Linear Load Using Artificial Neural Network -- Demand Response in Smart Residential Buildings.

This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field.

ISBN: 9789811599682

Standard No.: 10.1007/978-981-15-9968-2doiSubjects--Topical Terms:

2205671
Smart power grids
--Data processing.

LC Class. No.: TK3105

Dewey Class. No.: 621.31

Intelligent paradigms for smart grid and renewable energy systems
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520 $a This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field.
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