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Renewable energy and future power sy...

Singh, Vinod Kumar.

Renewable energy and future power systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Renewable energy and future power systemsedited by Vinod Kumar Singh ... [et al.].
其他作者:	Singh, Vinod Kumar.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xv, 260 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Renewable energy sources.
電子資源:	https://doi.org/10.1007/978-981-33-6753-1
ISBN:	9789813367531$q(electronic bk.)

Renewable energy and future power systems
Renewable energy and future power systems[electronic resource] /edited by Vinod Kumar Singh ... [et al.]. - Singapore :Springer Singapore :2021. - xv, 260 p. :ill. (some col.), digital ;24 cm. - Energy systems in electrical engineering,2199-8582. - Energy systems in electrical engineering..

Renewable Energy and Economic Dispatch Integration within the Honduras Electricity Market -- Converter/Inverter Topologies for Standalone and Grid-connected PV Systems -- Mission Profile Oriented Reliability Evaluation of Grid Connected PV Inverter Considering Panel Degradation and Uncertainties at Indian Location -- Performance analysis of PI and PR controller for a single-phase PV grid system with effective active and reactive power compensation -- Design and Analysis of Fifth Order Bi-Directional Charger with Vehicle to Grid Application -- Mathematical justification of main parameters for solar heating system -- Photovoltaic Inverter Model in Simulink -- Smart Power Management System for Charging Plug-in Hybrid/Electric Vehicles using Solar PV for software Technology Park -- Enhancement of IEEE 802.11 based network performance using combined optimization of parameters for Smart grid network -- Wind Turbines in Energy Conversion System: Types & Techniques.

This book discusses advanced technologies for applications in renewable energy and power systems. The topics covered include neural network applications in power electronics, deep learning applications in power systems, design and simulation of multilevel inverters, solid state transformers, neural network applications for fault detection in power electronics, etc. The book also discusses the important role of artificial intelligence in power systems, and machine learning for renewable energy. This book will be of interest to researchers, professionals, and technocrats looking at power systems, power distribution, and grid operations.

ISBN: 9789813367531$q(electronic bk.)

Standard No.: 10.1007/978-981-33-6753-1doiSubjects--Topical Terms:

190766
Renewable energy sources.

LC Class. No.: TJ808

Dewey Class. No.: 621.042

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505 0 $a Renewable Energy and Economic Dispatch Integration within the Honduras Electricity Market -- Converter/Inverter Topologies for Standalone and Grid-connected PV Systems -- Mission Profile Oriented Reliability Evaluation of Grid Connected PV Inverter Considering Panel Degradation and Uncertainties at Indian Location -- Performance analysis of PI and PR controller for a single-phase PV grid system with effective active and reactive power compensation -- Design and Analysis of Fifth Order Bi-Directional Charger with Vehicle to Grid Application -- Mathematical justification of main parameters for solar heating system -- Photovoltaic Inverter Model in Simulink -- Smart Power Management System for Charging Plug-in Hybrid/Electric Vehicles using Solar PV for software Technology Park -- Enhancement of IEEE 802.11 based network performance using combined optimization of parameters for Smart grid network -- Wind Turbines in Energy Conversion System: Types & Techniques.
520 $a This book discusses advanced technologies for applications in renewable energy and power systems. The topics covered include neural network applications in power electronics, deep learning applications in power systems, design and simulation of multilevel inverters, solid state transformers, neural network applications for fault detection in power electronics, etc. The book also discusses the important role of artificial intelligence in power systems, and machine learning for renewable energy. This book will be of interest to researchers, professionals, and technocrats looking at power systems, power distribution, and grid operations.
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