An Improved Analysis of Renewable Energy based Storage System using Solar Deep Learning Model

Devender Singh, Shikha Bharti
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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..
基于太阳能深度学习模型的可再生能源储能系统改进分析
这个地球足以满足每个人的需要,却不足以满足每个人的贪婪。我们消耗能源的速度快于生产能源的速度——煤、石油和天然气是使用最广泛的资源。它们需要数万年才能形成。能源资源非常有限——印度的能源资源只占世界的1%。但印度拥有世界16%的人口。大部分能源是不可重复使用或可再生的——不可再生能源占燃料消耗的80%。据说我们今天拥有的能源只够用40年。本文提出了一种基于太阳能深度学习模型的可再生能源储能系统改进分析方法。节约能源等于为国家节省了一大笔钱——我们75%的原油需求是通过进口来满足的。通过节省燃料,我们也节省了钱。如果我们以一种经济的方式练习燃烧柴火,收集柴火所需的工作就会减少。储存的能量等于产生的能量——如果我们节省一个单位的电,就相当于产生两个单位的电。节约能源,减少环境污染。能源的生产和使用也是造成空气污染的最大因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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