A Time Series Analysis of Renewable Energy Production in United States

Rajni, Tuhin Banerjee
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Abstract

With increase in demand for electricity worldwide, the world is facing a shortage of fossil fuels for energy production. Also, use of fossil fuels has led to increase in carbon emissions and global warming leading to long term climate changes. With advancements in science and technology, renewable energy efficiency has increased which has led to many countries now adopting them as one of the means for their energy production. In this paper, we investigate the renewable energy production for the United States. A time series analysis using the exponential smoothing techniques is used for investigating the monthly data of energy production from January 1973-December 2019 and then forecast for the next 10 time-period from January 2020 to December 2020. This analysis will help to predict the demand and production of renewable energy for any region. In this investigation, the total renewable energy production is taken into consideration.
美国可再生能源生产的时间序列分析
随着全球电力需求的增加,世界正面临着用于能源生产的化石燃料短缺。此外,化石燃料的使用导致了碳排放的增加和全球变暖,导致了长期的气候变化。随着科学技术的进步,可再生能源的效率提高,导致许多国家现在采用可再生能源作为其能源生产的手段之一。在本文中,我们研究了美国的可再生能源生产。利用指数平滑技术对1973年1月至2019年12月的能源生产月度数据进行了时间序列分析,并对2020年1月至2020年12月的未来10个时间段进行了预测。这一分析将有助于预测任何地区可再生能源的需求和生产。在本研究中,可再生能源的生产总量被考虑在内。
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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