Ion-Florin Răducu- The Bucharest University of Economic Studies, Faculty of Economic Cybernetics, Statistics and Informat- ics, Dorobanti 15-17, 010552, Bucharest, Romania
Stelian Stancu- The Bucharest University of Economic Studies, Faculty of Economic Cybernetics, Statistics and Informat- ics, Dorobanti 15-17, 010552, Bucharest, Romania
Keywords:
Seasonal autoregressive
integrated moving average;
Time series;
Natural gas
DOI: https://doi.org/10.31410/ERAZ.S.P.2024.97
Abstract: Natural gas is a gaseous material that primarily consists of hydrocarbons. This is a primary component of energy resources and a fossil fuel. Its primary attribute is that it produces energy with great efficiency while generating negligible amounts of pollution. Natural gas is used in a wide range of industries. It is widely used as fuel for automobiles, to produce electricity, and for home heating. Because of its benefits, which include lower carbon emissions than other energy sources, natural gas is a desirable choice for both consumers and businesses. The purpose of this paper is to use the SARIMA (Seasonal Autoregressive Integrated Moving Average) model and the additive Holt-Winters model to forecast changes in natural gas prices in the United States and compare both models. These are a few of the most popular models for forecasting and time-series analysis.
10th International Scientific ERAZ Conference – ERAZ 2024 – Selected Papers: KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT, hybrid – online, virtually and in person, Lisbon, Portugal, June 6, 2024
ERAZ Selected Papers published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia
ERAZ conference partners: Faculty of Logistics, University of Maribor, Maribor (Slovenia); University of National and World Economy – UNWE, Sofia (Bulgaria); Center for Political Research and Documentation (KEPET), Research Laboratory of the Department of Political Science of University of Crete (Greece); Institute of Public Finance – Zagreb (Croatia); Faculty of Tourism and Hospitality Ohrid, University of St. Kliment Ohridski from Bitola (North Macedonia)
ERAZ Conference 2024 Selected Papers: ISBN 978-86-80194-87-5, ISSN 2683-5568, DOI: https://doi.org/10.31410/ERAZ.S.P.2024
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
Suggested citation
Răducu, I.-F., & Stancu, S. (2024). Using Particular Time Series Algorithms to Model Natural Gas Indicators for the US. In P. Alexandre et al. (Eds.), ERAZ Conference – Knowledge Based Sustainable Development: Vol 10. Selected Papers (pp. 97-107). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/ERAZ.S.P.2024.97