{"title":"Estimation of Energy Demand and Sustainable Source for India & Study of Renewable Energy though Machine Learning","authors":"Mohammad Mamoon, Abhishake Jain","doi":"10.1109/SSTEPS57475.2022.00058","DOIUrl":null,"url":null,"abstract":"In the last decade, the energy industry has shifted its focus toward alternative energy sources such as solar, hydro, and nuclear power in order to satisfy individual needs. There is still an issue with not having enough access to energy in several regions of India. The production of electricity via thermal means, the generation of power through nuclear means, and the generation of power through hydro means are the three principal forms of power generating in India. This paper discusses the power generation from different energy sources and analyses the demand in India between 2017 to 2020 years. The purpose of this research is to examine data and depict it in a manner that may be understood quickly and easily. The purpose of this research is to compile secondary data drawn from reputable sources and examine that data in the context of existing knowledge gaps. Between the years 2017 and 2020, it will be necessary to conduct research and analysis on a variety of alternative energy sources, including thermal power and other thermal sources. Additional machine learning strategies have been used to the solar data in order to study and anticipate. As a result of using this method, the loss and MSE (mean square error) of the solar data time series were discovered. Therefore, the proper use of power is something that might be evaluated and put into practice from an Indian point of view.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSTEPS57475.2022.00058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the last decade, the energy industry has shifted its focus toward alternative energy sources such as solar, hydro, and nuclear power in order to satisfy individual needs. There is still an issue with not having enough access to energy in several regions of India. The production of electricity via thermal means, the generation of power through nuclear means, and the generation of power through hydro means are the three principal forms of power generating in India. This paper discusses the power generation from different energy sources and analyses the demand in India between 2017 to 2020 years. The purpose of this research is to examine data and depict it in a manner that may be understood quickly and easily. The purpose of this research is to compile secondary data drawn from reputable sources and examine that data in the context of existing knowledge gaps. Between the years 2017 and 2020, it will be necessary to conduct research and analysis on a variety of alternative energy sources, including thermal power and other thermal sources. Additional machine learning strategies have been used to the solar data in order to study and anticipate. As a result of using this method, the loss and MSE (mean square error) of the solar data time series were discovered. Therefore, the proper use of power is something that might be evaluated and put into practice from an Indian point of view.