Statistical regression model for annual hourly price estimation in the spanish electricity market
Resumen: This article aims to obtain an annual hourly profile of Spanish electricity market prices until 2050, by estimating a statistical regression model that captures the variables that influence price formation. This model captures hourly price fluctuations, allowing identifying key dynamics that affect the planning and operation of the power system. A significant increase in wind and solar photovoltaic energy is estimated, reaching a renewable penetration of 88.36 % in 2050. As a result, the average OMIE price would be reduced by 70 %. Estimating long-term hourly electricity market prices is key to planning investments, managing costs and mitigating market risks.
Idioma: Inglés
Año: 2025
Publicado en: Renewable Energy and Power Quality Journal (2025), [5 pp.]
ISSN: 2172-038X

Originalmente disponible en: Texto completo de la revista

Tipo y forma: Article (Published version)
Área (Departamento): Área Ingeniería Eléctrica (Dpto. Ingeniería Eléctrica)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


Exportado de SIDERAL (2025-12-19-14:43:40)


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Articles > Artículos por área > Ingeniería Eléctrica



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