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

Global energy transformation requires quantifying the "price of energy" and studying its evolution. Here the authors present a predictive framework that calculates the average US price of energy, estimating future energy demands for up to four years with excellent accuracy, designing and o...

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Autores principales:	Stefanos G. Baratsas, Alexander M. Niziolek, Onur Onel, Logan R. Matthews, Christodoulos A. Floudas, Detlef R. Hallermann, Sorin M. Sorescu, Efstratios N. Pistikopoulos
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/63c42df6f20940c78c630faf4ec144c6
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spelling	oai:doaj.org-article:63c42df6f20940c78c630faf4ec144c62021-12-02T11:45:56ZA framework to predict the price of energy for the end-users with applications to monetary and energy policies10.1038/s41467-020-20203-22041-1723https://doaj.org/article/63c42df6f20940c78c630faf4ec144c62021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20203-2https://doaj.org/toc/2041-1723Global energy transformation requires quantifying the "price of energy" and studying its evolution. Here the authors present a predictive framework that calculates the average US price of energy, estimating future energy demands for up to four years with excellent accuracy, designing and optimizing energy and monetary policies.Stefanos G. BaratsasAlexander M. NiziolekOnur OnelLogan R. MatthewsChristodoulos A. FloudasDetlef R. HallermannSorin M. SorescuEfstratios N. PistikopoulosNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Stefanos G. Baratsas Alexander M. Niziolek Onur Onel Logan R. Matthews Christodoulos A. Floudas Detlef R. Hallermann Sorin M. Sorescu Efstratios N. Pistikopoulos A framework to predict the price of energy for the end-users with applications to monetary and energy policies
description	Global energy transformation requires quantifying the "price of energy" and studying its evolution. Here the authors present a predictive framework that calculates the average US price of energy, estimating future energy demands for up to four years with excellent accuracy, designing and optimizing energy and monetary policies.
format	article
author	Stefanos G. Baratsas Alexander M. Niziolek Onur Onel Logan R. Matthews Christodoulos A. Floudas Detlef R. Hallermann Sorin M. Sorescu Efstratios N. Pistikopoulos
author_facet	Stefanos G. Baratsas Alexander M. Niziolek Onur Onel Logan R. Matthews Christodoulos A. Floudas Detlef R. Hallermann Sorin M. Sorescu Efstratios N. Pistikopoulos
author_sort	Stefanos G. Baratsas
title	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_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_sort	framework to predict the price of energy for the end-users with applications to monetary and energy policies
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/63c42df6f20940c78c630faf4ec144c6
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A framework to predict the price of energy for the end-users with applications to monetary and energy policies

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