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Renewable Energy and Future Power Sy...
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Singh, Vinod Kumar.
Renewable Energy and Future Power Systems
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Renewable Energy and Future Power Systems/ edited by Vinod Kumar Singh, Akash Kumar Bhoi, Anurag Saxena, Ahmed F. Zobaa, Sandeep Biswal.
other author:
Singh, Vinod Kumar.
Description:
XV, 260 p. 200 illus., 163 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Energy systems. -
Online resource:
https://doi.org/10.1007/978-981-33-6753-1
ISBN:
9789813367531
Renewable Energy and Future Power Systems
Renewable Energy and Future Power Systems
[electronic resource] /edited by Vinod Kumar Singh, Akash Kumar Bhoi, Anurag Saxena, Ahmed F. Zobaa, Sandeep Biswal. - 1st ed. 2021. - XV, 260 p. 200 illus., 163 illus. in color.online resource. - Energy Systems in Electrical Engineering,2199-8590. - 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
Standard No.: 10.1007/978-981-33-6753-1doiSubjects--Topical Terms:
1253529
Energy systems.
LC Class. No.: TK1001-1841
Dewey Class. No.: 621.042
Renewable Energy and Future Power Systems
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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.
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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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