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Electrical Power Diversification: An Approach Based on the Method of Maximum Entropy in the Mean
Electrical energy is generated in different ways, each located at some specific geographical area, and with different impact on the environment. Different sectors require heterogeneous rates of energy delivery, due to economic requirements. An important problem to solve is to determine how much ener...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996745/ https://www.ncbi.nlm.nih.gov/pubmed/33652723 http://dx.doi.org/10.3390/e23030281 |
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author | Bautista, Rafael Gzyl, Henryk ter Horst, Enrique Molina, Germán |
author_facet | Bautista, Rafael Gzyl, Henryk ter Horst, Enrique Molina, Germán |
author_sort | Bautista, Rafael |
collection | PubMed |
description | Electrical energy is generated in different ways, each located at some specific geographical area, and with different impact on the environment. Different sectors require heterogeneous rates of energy delivery, due to economic requirements. An important problem to solve is to determine how much energy must be sent from each supplier to satisfy each demand. Besides, the energy distribution process may have to satisfy ecological, technological, or economic cost constraints. |
format | Online Article Text |
id | pubmed-7996745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79967452021-03-27 Electrical Power Diversification: An Approach Based on the Method of Maximum Entropy in the Mean Bautista, Rafael Gzyl, Henryk ter Horst, Enrique Molina, Germán Entropy (Basel) Article Electrical energy is generated in different ways, each located at some specific geographical area, and with different impact on the environment. Different sectors require heterogeneous rates of energy delivery, due to economic requirements. An important problem to solve is to determine how much energy must be sent from each supplier to satisfy each demand. Besides, the energy distribution process may have to satisfy ecological, technological, or economic cost constraints. MDPI 2021-02-26 /pmc/articles/PMC7996745/ /pubmed/33652723 http://dx.doi.org/10.3390/e23030281 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Bautista, Rafael Gzyl, Henryk ter Horst, Enrique Molina, Germán Electrical Power Diversification: An Approach Based on the Method of Maximum Entropy in the Mean |
title | Electrical Power Diversification: An Approach Based on the Method of Maximum Entropy in the Mean |
title_full | Electrical Power Diversification: An Approach Based on the Method of Maximum Entropy in the Mean |
title_fullStr | Electrical Power Diversification: An Approach Based on the Method of Maximum Entropy in the Mean |
title_full_unstemmed | Electrical Power Diversification: An Approach Based on the Method of Maximum Entropy in the Mean |
title_short | Electrical Power Diversification: An Approach Based on the Method of Maximum Entropy in the Mean |
title_sort | electrical power diversification: an approach based on the method of maximum entropy in the mean |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996745/ https://www.ncbi.nlm.nih.gov/pubmed/33652723 http://dx.doi.org/10.3390/e23030281 |
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