Forecasting of renewable energy production in United States: An ARIMA based time series analysis

-, Rajni, Banerjee, Tuhin and Kumar, Prashant (2024) Forecasting of renewable energy production in United States: An ARIMA based time series analysis. AIP Conference Proceedings, 3010 (1). ISSN 0094-243X

Full text not available from this repository. (Request a copy)

Abstract

The demand for energy has increased worldwide and the planet is facing acute shortage of resources such as fossil fuels for production of energy. These unrenewable sources of energy production leads to pollution of the environment, and drastic long-term climate changes. As modern technology has made advancements with manufacturing and increasing efficiency of renewable sources of energy, many nations have started adopting them. The study investigates the production of renewable energy for the United States utilizing ARIMA techniques of time series analysis. Monthly data for energy production for duration January 1973-December 2019 has been analyzed to forecast for 10 time-periods in future from January 2020 to December 2020. The study will serve as basis for forecasting the demand and production of renewable energies in other geographic locations. The analysis considers only the total renewable energy production

Item Type: Article
Keywords: ARIMA | Energy | Climate Change | Time-Series analysis | Energy Production
Subjects: Physical, Life and Health Sciences > Engineering and Technology
Physical, Life and Health Sciences > Environmental Science, Policy and Law
JGU School/Centre: Jindal Global Business School
Depositing User: Subhajit Bhattacharjee
Date Deposited: 19 Feb 2024 13:23
Last Modified: 19 Feb 2024 13:23
Official URL: https://doi.org/10.1063/5.0193938
URI: https://pure.jgu.edu.in/id/eprint/7346

Downloads

Downloads per month over past year

Actions (login required)

View Item
View Item