Advances in Smart Energy Systems

This book PDF is perfect for those who love Technology & Engineering genre, written by Biplab Das and published by Springer Nature which was released on 31 August 2022 with total hardcover pages 300. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Advances in Smart Energy Systems books below.

Advances in Smart Energy Systems
Author : Biplab Das
File Size : 53,6 Mb
Publisher : Springer Nature
Language : English
Release Date : 31 August 2022
ISBN : 9789811924125
Pages : 300 pages
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Advances in Smart Energy Systems by Biplab Das Book PDF 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.

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 of soft computing techniques to make an intelligent decision for optimum use of

Get Book
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