文章基本信息

标题：Solar Energy Analyser and Predictor
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作者：Utkarsh Mishra ; Aditya Sharma ; Shreeyash Haritashya 等
期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2018
卷号：11
语种：English
出版社：IJECSCSE
摘要：India is third largest electricity producer in the world, but 68% of this is produced by thermal plants [1]. Being in the tropical region, India enjoys high solar radiations throughout the year which is conducive for producing solar energy. This paper involves the concepts of Data Science and Machine learning to calculate the Energy Payback Period for a solar setup that is a good home/industrial solution to produce clean energy without any fuel.
关键词：Solar energy;solar radiations;energy prediction;renewable energy;energy payback period