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Renewable energy system paradigm change from trending technology: a review.

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Title: Renewable energy system paradigm change from trending technology: a review.
Authors: Khare, Vikas1 (AUTHOR) vikaskharekhare@gmail.com, Khare, Cheshta2 (AUTHOR), Nema, Savita3 (AUTHOR), Baredar, Prashant4 (AUTHOR)
Source: International Journal of Sustainable Energy. Jul2021, Vol. 40 Issue 7, p697-718. 22p.
Subject Terms: *Biomass energy, *Electric power production, *Wind power, *Green technology, Artificial intelligence, Internet of things, Game theory
Abstract: Green technology or renewable energy system (RES) is an advancement of the electricity generation which creates pollution free environment. Since last 15–20 years, renewable power plant works in the traditional way over the world and needs technology enhancement. This paper presents a complete review of application of recent advanced technology in the field of RES. The paper analyses and discusses the potential application of artificial intelligence, the internet of things, cloud computing, big data, blockchain and game theory in the area of RESs such as solar energy, wind energy, biomass energy, etc. At the end of this paper, the ordinal assessment of application of recent technology for different objectives of RES is presented. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Sustainable Energy is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Renewable energy system paradigm change from trending technology: a review.
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  Data: <searchLink fieldCode="AR" term="%22Khare%2C+Vikas%22">Khare, Vikas</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> vikaskharekhare@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Khare%2C+Cheshta%22">Khare, Cheshta</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nema%2C+Savita%22">Nema, Savita</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Baredar%2C+Prashant%22">Baredar, Prashant</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Sustainable+Energy%22">International Journal of Sustainable Energy</searchLink>. Jul2021, Vol. 40 Issue 7, p697-718. 22p.
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  Data: *<searchLink fieldCode="DE" term="%22Biomass+energy%22">Biomass energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+production%22">Electric power production</searchLink><br />*<searchLink fieldCode="DE" term="%22Wind+power%22">Wind power</searchLink><br />*<searchLink fieldCode="DE" term="%22Green+technology%22">Green technology</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Game+theory%22">Game theory</searchLink>
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  Data: Green technology or renewable energy system (RES) is an advancement of the electricity generation which creates pollution free environment. Since last 15–20 years, renewable power plant works in the traditional way over the world and needs technology enhancement. This paper presents a complete review of application of recent advanced technology in the field of RES. The paper analyses and discusses the potential application of artificial intelligence, the internet of things, cloud computing, big data, blockchain and game theory in the area of RESs such as solar energy, wind energy, biomass energy, etc. At the end of this paper, the ordinal assessment of application of recent technology for different objectives of RES is presented. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Sustainable Energy is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/14786451.2020.1860043
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Electric power production
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      – SubjectFull: Wind power
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      – SubjectFull: Artificial intelligence
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              Text: Jul2021
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