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Advances in Smart Energy Systems

This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. It also discusses applications o...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Das, Biplab (Editor), Patgiri, Ripon (Editor), Balas, Valentina Emilia (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Smart Innovation, Systems and Technologies, 301
Subjects:
Electric power distribution.
Photovoltaic power generation.
Solar energy.
Renewable energy sources.
Energy storage.
Energy Grids and Networks.
Photovoltaics.
Solar Thermal Energy.
Renewable Energy.
Mechanical and Thermal Energy Storage.
Online Access:https://doi.org/10.1007/978-981-19-2412-5
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Summary:This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. It also discusses applications of soft computing techniques to make an intelligent decision for optimum use of suitable alternatives which gives an upper hand compared to conventional systems. It includes upgradation of the existing system by embedding of machine intelligence. The authors present combination of use of neutral networks, fuzzy systems, and genetic algorithms which are illustrated in several applications including forecasting, security, verification, diagnostics of a specific fault, efficiency optimization, etc. Smart energy systems integrate a holistic approach in diverse sectors including electricity, thermal comfort, power industry, transportation. It allows affordable and sustainable solutions to solve the future energy demands with suitable alternatives. Thus, contributions regarding integration of the machine intelligence with the energy system, for efficient collection and effective utilization of the available energy sources, are useful for further advanced studies.
Physical Description:1 online resource (XIII, 294 p. 151 illus.). 131 illus. in color.
ISBN:9789811924125
ISSN:2190-3026 ;
DOI:10.1007/978-981-19-2412-5

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