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Smardt Inc. Название: VSI ECONOMICS ENVIRONMENTAL (284).
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Smardt Inc.
USA. Smardt Chillers Inc. 22 Colorado Street Building 2815 Plattsburgh, NY, 12903 Tel: +1 518 324 5741 Fax: +1 518 324 5718 Email: [email protected]

The world is transforming itself into an industrial and knowledge society from an agricultural one which in turn makes the growth, energy intensive resulting in emissions. Screen reader users, click the load entire article button to bypass dynamically loaded article content. The review indicates that fuzzy based models provide realistic estimates.

This page uses JavaScript to progressively load the article content as a user scrolls. Energy modeling and energy planning is vital for the future economic prosperity and environmental security. ScienceDirect ® is a registered trademark of Elsevier B.

Please refer to Department of Management Studies, College of Engineering, Anna University, Chennai 600025, India Institute for Energy Studies, Department of Mechanical Engineering, College of Engineering, Anna University, Chennai 600025, India Received 9 November 2013, Revised 19 March 2015, Accepted 3 April 2015, Available online 28 April 2015 In recent years, with the advent of globalization, the world is witnessing a steep rise in its energy consumption. In this paper, an attempt has been made to review the applications of fuzzy logic based models in renewable energy systems namely solar, wind, bio-energy, micro-grid and hybrid applications. Soft computing techniques such as fuzzy logic, neural networks, genetic algorithms are being adopted in energy modeling to precisely map the energy systems.

Very Short Introductions - Wikipedia, the free encyclopedia
The Very Short Introductions series (or VSI series) is a book series published by the Oxford University Press (OUP) publishing house since 1995. Books in the series ...

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  • International Journal of Engineering Research and...
    International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research ..
    VSI ECONOMICS ENVIRONMENTAL (284).

    Please refer to Department of Management Studies, College of Engineering, Anna University, Chennai 600025, India Institute for Energy Studies, Department of Mechanical Engineering, College of Engineering, Anna University, Chennai 600025, India Received 9 November 2013, Revised 19 March 2015, Accepted 3 April 2015, Available online 28 April 2015 In recent years, with the advent of globalization, the world is witnessing a steep rise in its energy consumption. The world is transforming itself into an industrial and knowledge society from an agricultural one which in turn makes the growth, energy intensive resulting in emissions. In this paper, an attempt has been made to review the applications of fuzzy logic based models in renewable energy systems namely solar, wind, bio-energy, micro-grid and hybrid applications.

    This page uses JavaScript to progressively load the article content as a user scrolls. It is found that fuzzy based models are extensively used in recent years for site assessment, for installing of photovoltaic/wind farms, power point tracking in solar photovoltaic/wind, optimization among conflicting criteria. Energy modeling and energy planning is vital for the future economic prosperity and environmental security.

    Soft computing techniques such as fuzzy logic, neural networks, genetic algorithms are being adopted in energy modeling to precisely map the energy systems. ScienceDirect ® is a registered trademark of Elsevier B. The review indicates that fuzzy based models provide realistic estimates.

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