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Application of Artificial Intelligence Methods for Hybrid Energy System Optimization

Consciousness of the need to decrease our unnatural weather changes and of the critical increase in the costs of traditional sources of energy have motivated many nations to provide innovative energy strategies that promulgate renewable energy systems. For example, solar, wind and hydro related ene...

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Main Author: Khalaji Assadi, M
Format: Article
Published: Elsevier 2016
Online Access:http://eprints.utp.edu.my/12018/1/Application%20ofArtificial%20IntelligenceMethodsforHybridEnergySystem.pdf
http://eprints.utp.edu.my/12018/
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spelling my.utp.eprints.120182017-08-02T00:01:16Z Application of Artificial Intelligence Methods for Hybrid Energy System Optimization Khalaji Assadi, M Consciousness of the need to decrease our unnatural weather changes and of the critical increase in the costs of traditional sources of energy have motivated many nations to provide innovative energy strategies that promulgate renewable energy systems. For example, solar, wind and hydro related energies are renewable energy sources, and they are environmentally friendly with the potential for broad use. All of the load requirement conditions in comparison with single usage can provide more economical and dependable electricity, as well as environmentally friendly sources, by compounding such renewable energy sources using backup units to shape a hybrid scheme. Sizing the hybrid system elements optimally is one of the most important matters in this type of hybrid system, which could sufficiently meet all of the load demands with a minor financial investment. Although a number of studies have been performed on the optimization and sizing of hybrid renewable energy systems, this study presents a full analysis of Artificial Intelligence optimum plans in the literature, making the contribution of penetrating extensively the renewable energy aspects for improving the functioning of the systems economically Elsevier 2016 Article PeerReviewed application/pdf http://eprints.utp.edu.my/12018/1/Application%20ofArtificial%20IntelligenceMethodsforHybridEnergySystem.pdf Khalaji Assadi, M (2016) Application of Artificial Intelligence Methods for Hybrid Energy System Optimization. Renewable and Sustainable Energy Reviews, 66 . pp. 617-630. ISSN 1364-0321 http://eprints.utp.edu.my/12018/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Consciousness of the need to decrease our unnatural weather changes and of the critical increase in the costs of traditional sources of energy have motivated many nations to provide innovative energy strategies that promulgate renewable energy systems. For example, solar, wind and hydro related energies are renewable energy sources, and they are environmentally friendly with the potential for broad use. All of the load requirement conditions in comparison with single usage can provide more economical and dependable electricity, as well as environmentally friendly sources, by compounding such renewable energy sources using backup units to shape a hybrid scheme. Sizing the hybrid system elements optimally is one of the most important matters in this type of hybrid system, which could sufficiently meet all of the load demands with a minor financial investment. Although a number of studies have been performed on the optimization and sizing of hybrid renewable energy systems, this study presents a full analysis of Artificial Intelligence optimum plans in the literature, making the contribution of penetrating extensively the renewable energy aspects for improving the functioning of the systems economically
format Article
author Khalaji Assadi, M
spellingShingle Khalaji Assadi, M
Application of Artificial Intelligence Methods for Hybrid Energy System Optimization
author_facet Khalaji Assadi, M
author_sort Khalaji Assadi, M
title Application of Artificial Intelligence Methods for Hybrid Energy System Optimization
title_short Application of Artificial Intelligence Methods for Hybrid Energy System Optimization
title_full Application of Artificial Intelligence Methods for Hybrid Energy System Optimization
title_fullStr Application of Artificial Intelligence Methods for Hybrid Energy System Optimization
title_full_unstemmed Application of Artificial Intelligence Methods for Hybrid Energy System Optimization
title_sort application of artificial intelligence methods for hybrid energy system optimization
publisher Elsevier
publishDate 2016
url http://eprints.utp.edu.my/12018/1/Application%20ofArtificial%20IntelligenceMethodsforHybridEnergySystem.pdf
http://eprints.utp.edu.my/12018/
_version_ 1738656001340473344
score 13.211869

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