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A framework to predict the price of energy for the end-users with applications to monetary and energy policies

Energy affects every single individual and entity in the world. Therefore, it is crucial to precisely quantify the “price of energy” and study how it evolves through time, through major political and social events, and through changes in energy and monetary policies. Here, we develop a predictive fr...

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Autores principales: Baratsas, Stefanos G., Niziolek, Alexander M., Onel, Onur, Matthews, Logan R., Floudas, Christodoulos A., Hallermann, Detlef R., Sorescu, Sorin M., Pistikopoulos, Efstratios N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7782726/
https://www.ncbi.nlm.nih.gov/pubmed/33398000
http://dx.doi.org/10.1038/s41467-020-20203-2
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author Baratsas, Stefanos G.
Niziolek, Alexander M.
Onel, Onur
Matthews, Logan R.
Floudas, Christodoulos A.
Hallermann, Detlef R.
Sorescu, Sorin M.
Pistikopoulos, Efstratios N.
author_facet Baratsas, Stefanos G.
Niziolek, Alexander M.
Onel, Onur
Matthews, Logan R.
Floudas, Christodoulos A.
Hallermann, Detlef R.
Sorescu, Sorin M.
Pistikopoulos, Efstratios N.
author_sort Baratsas, Stefanos G.
collection PubMed
description Energy affects every single individual and entity in the world. Therefore, it is crucial to precisely quantify the “price of energy” and study how it evolves through time, through major political and social events, and through changes in energy and monetary policies. Here, we develop a predictive framework, an index to calculate the average price of energy in the United States. The complex energy landscape is thoroughly analysed to accurately determine the two key factors of this framework: the total demand of the energy products directed to the end-use sectors, and the corresponding price of each product. A rolling horizon predictive methodology is introduced to estimate future energy demands, with excellent predictive capability, shown over a period of 174 months. The effectiveness of the framework is demonstrated by addressing two policy questions of significant public interest.
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spelling pubmed-77827262021-01-11 A framework to predict the price of energy for the end-users with applications to monetary and energy policies Baratsas, Stefanos G. Niziolek, Alexander M. Onel, Onur Matthews, Logan R. Floudas, Christodoulos A. Hallermann, Detlef R. Sorescu, Sorin M. Pistikopoulos, Efstratios N. Nat Commun Article Energy affects every single individual and entity in the world. Therefore, it is crucial to precisely quantify the “price of energy” and study how it evolves through time, through major political and social events, and through changes in energy and monetary policies. Here, we develop a predictive framework, an index to calculate the average price of energy in the United States. The complex energy landscape is thoroughly analysed to accurately determine the two key factors of this framework: the total demand of the energy products directed to the end-use sectors, and the corresponding price of each product. A rolling horizon predictive methodology is introduced to estimate future energy demands, with excellent predictive capability, shown over a period of 174 months. The effectiveness of the framework is demonstrated by addressing two policy questions of significant public interest. Nature Publishing Group UK 2021-01-04 /pmc/articles/PMC7782726/ /pubmed/33398000 http://dx.doi.org/10.1038/s41467-020-20203-2 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Baratsas, Stefanos G.
Niziolek, Alexander M.
Onel, Onur
Matthews, Logan R.
Floudas, Christodoulos A.
Hallermann, Detlef R.
Sorescu, Sorin M.
Pistikopoulos, Efstratios N.
A framework to predict the price of energy for the end-users with applications to monetary and energy policies
title A framework to predict the price of energy for the end-users with applications to monetary and energy policies
title_full A framework to predict the price of energy for the end-users with applications to monetary and energy policies
title_fullStr A framework to predict the price of energy for the end-users with applications to monetary and energy policies
title_full_unstemmed A framework to predict the price of energy for the end-users with applications to monetary and energy policies
title_short A framework to predict the price of energy for the end-users with applications to monetary and energy policies
title_sort framework to predict the price of energy for the end-users with applications to monetary and energy policies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7782726/
https://www.ncbi.nlm.nih.gov/pubmed/33398000
http://dx.doi.org/10.1038/s41467-020-20203-2
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