165242 20251219174252.0 sideral 146991 ART-2025-146991 eng Naval, Natalia Universidad de Zaragoza (orcid)0000-0002-1968-6300 Statistical regression model for annual hourly price estimation in the spanish electricity market 2025 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. Access copy available to the general public Unrestricted info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Tipán-Salazar, Lizbeth Yusta, José María 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica (2025), [5 pp.] Renewable energy power qual. j. Renewable Energy and Power Quality Journal 2172-038X https://www.icrepq.com/RE&PQJ.html Texto completo de la revista 644054 http://zaguan.unizar.es/record/165242/files/texto_completo.pdf Versión publicada 3005429 http://zaguan.unizar.es/record/165242/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:165242 articulos driver 2025-12-19-14:43:40 ARTICLE