{"title":"An Improved Analysis of Renewable Energy based Storage System using Solar Deep Learning Model","authors":"Devender Singh, Shikha Bharti","doi":"10.1109/ICICACS57338.2023.10099936","DOIUrl":null,"url":null,"abstract":"This earth provides enough to satisfy every man's need and not enough to satisfy everyone's greed. We consume energy at a faster rate than we produce it - coal, oil and gas are the most widely used resource sources. They take tens of thousands of years to form. Energy resources are very limited - India has only 1% of the world's energy resources. But India has 16% of the world's population. Most of the energy resources are non-reusable or renewable - non-renewable energy accounts for 80% of fuel consumption. It is said that the energy resources we have today will only last for 40 years. In this paper, an improved analysis has proposed for renewable energy based storage system using solar deep learning model. Saving energy equals huge savings for the country - 75% of our crude oil needs are met through imports. By saving fuel we also save money. By saving energy we save energy If we practice burning firewood in an economical way, the work required to collect it will be less. Energy stored equals energy produced - if we save one unit of electricity, it is equivalent to producing 2 units of electricity. Save energy to reduce environmental pollution. Energy production and use are also the biggest contributors to air pollution..","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICACS57338.2023.10099936","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
This earth provides enough to satisfy every man's need and not enough to satisfy everyone's greed. We consume energy at a faster rate than we produce it - coal, oil and gas are the most widely used resource sources. They take tens of thousands of years to form. Energy resources are very limited - India has only 1% of the world's energy resources. But India has 16% of the world's population. Most of the energy resources are non-reusable or renewable - non-renewable energy accounts for 80% of fuel consumption. It is said that the energy resources we have today will only last for 40 years. In this paper, an improved analysis has proposed for renewable energy based storage system using solar deep learning model. Saving energy equals huge savings for the country - 75% of our crude oil needs are met through imports. By saving fuel we also save money. By saving energy we save energy If we practice burning firewood in an economical way, the work required to collect it will be less. Energy stored equals energy produced - if we save one unit of electricity, it is equivalent to producing 2 units of electricity. Save energy to reduce environmental pollution. Energy production and use are also the biggest contributors to air pollution..