Solar Energy Prediction System

Solar power will become even more affordable in the coming years thanks to advancements in technology. It's possible that solar energy will be the most important source of energy for the production of electricity in a significant portion of the world by the year 2030. Climate change and the env...

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Published inInternational Journal of Advanced Research in Science, Communication and Technology pp. 489 - 491
Main Authors Aryan Jaiswal, Setu Shekhar Singh, Shukla Vikas Rajesh, Ritik Mehta, Prof. Abhilasha Narote
Format Journal Article
LanguageEnglish
Published 25.03.2023
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Abstract Solar power will become even more affordable in the coming years thanks to advancements in technology. It's possible that solar energy will be the most important source of energy for the production of electricity in a significant portion of the world by the year 2030. Climate change and the environment will also benefit from this. In this paper, we implement the SVM method to achieve the quick and accurate real-time prediction of solar radiation may be, in contrast to the majority of existing research works on solar radiation prediction, which largely focus on the offline solar radiation prediction.
AbstractList Solar power will become even more affordable in the coming years thanks to advancements in technology. It's possible that solar energy will be the most important source of energy for the production of electricity in a significant portion of the world by the year 2030. Climate change and the environment will also benefit from this. In this paper, we implement the SVM method to achieve the quick and accurate real-time prediction of solar radiation may be, in contrast to the majority of existing research works on solar radiation prediction, which largely focus on the offline solar radiation prediction.
Author Setu Shekhar Singh
Shukla Vikas Rajesh
Prof. Abhilasha Narote
Aryan Jaiswal
Ritik Mehta
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  organization: Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India
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Cites_doi 10.1016/j.jestch.2018.04.013
10.1109/isgt.2017.8086027
10.1016/j.solener.2016.04.016
10.1016/j.enconman.2017.11.019
10.1016/j.rser.2018.03.084
10.1016/j.renene.2017.11.011
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