Analysis of Primary Energy Consumption in the United States

Author:

Vysotskaya A. A.1,Vorontsov A. A.1,Dzerzhinsky R. I.1

Affiliation:

1. Applied Mathematics Department MIREA - Russian Technological University 78, Vernadsky Ave., Moscow, 119454, RUSSIAN FEDERATION

Abstract

This article examines the overall trend in primary energy consumption from 1635 to 2020 in the United States. Based on the exponential growth model, the annual energy consumption average growth rate and the process characteristic time are determined. The anamorphosis method is used to search for the logistic model parameters. Long-term trends analysis and the corresponding time series fluctuations are carried out. For the fluctuations' analysis, the trend component is preliminarily excluded based on the proportions theory. Near-period values are determined using shift and autocorrelation functions. To predict further energy consumption dynamics, the ARIMA autoregressive model is used, on which basis a local increase in the annual energy consumption level to 97.66 quads Btu is expected by 2025. The US energy consumption dynamics by resource type is considered. A forecast up to 2025 for the primary energy resources consumption shares in their total volume is built on an autoregressive model basis

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Electrical and Electronic Engineering,Energy (miscellaneous)

Reference9 articles.

1. Veniaminov S. S., Revealing Latent Structure Laws in Processes and Signals, URSS, Moscow, 2014.

2. Kuzmin V. I., Gadzaov A. F., Method of Construction of Models on Empirical Data, MGTU MIREA, Moscow, 2012.

3. Serebrennikov M. G., Pervozvansky A. A., Revealing of the Latent Periodicity, Science, Moscow, 1965.

4. Dzerjinsky R. I., Pronina E. N., Dzerzhinskaya M. R., The Structural Analysis of the World Gold Prices Dynamics, Advances in Intelligent Systems and Computing, Vol.1225, 2020, pp. 352–365.

5. Paramonov A. A., Kuzmin V. I., Dzerjinsky R. I., Analysis of almost-periodic and almostproportional characteristics of a representative sample local minima time series, IOP Conference Series: Materials Science and Engineering, Vol. 1047, 2021, 012045.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy Consumption Modeling and Forecasting for Commercial Industrial Manufacturing Applications;2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC);2023-07-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3