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Qualifications

Analysis of institutional authors

Rios Sanchez, BelenSupervisor
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Thesis & Supervision Work
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Final project (Bachelor)

Predicción de demanda de gas y electricidad utilizando técnicas estadísticas avanzadas e inteligencia artificial

Date read: 2024-06-01 {_iPublic_txt_centro_}: E.T.S. de Ingenieros Informáticos (UPM) | ID: https://oa.upm.es/82673/

Author: Filgueira Fernández, Guillermo

Director: Rios Sanchez, Belen ; Reneses Guillén, Javier

Abstract

https://creativecommons.org/licenses/by-nc-nd/3.0/es/; info:eu-repo/semantics/openAccess (Rights)
Keywords
Energía eléctricaInformática

Quality index

Impact and social visibility

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/82673/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 116
  • Downloads: 132

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