Prol Godoy, IratiPicallo Perez, AnaSala Lizarraga, José Maria PedroRey Martinez, Javier2024-11-272024-11-27production.46767https://dx.doi.org/10.26876/ikergazte.v.03.10https://gordailua.ueu.eus/handle/123456789/2667Eraikinen energia-kontsumo handiak, berotegi efektuko gasen isuriak, eta klima-aldaketaren tenperatura-igoera kontuan hartuta, beharrezkoa da eraikinen sistema termikoen funtzionamendua aztertzea eta hobetzea. Horregatik metodologia bat garatu da, Termoekonomia eta Adimen Artifizialeko metodoak nahastuz, klima-aldaketak eragindako eraikinen sistema termikoen kostu aldaketak iragartzeko.The high energy consumption and greenhouse gas emissions of buildings, coupled with an imminent increase in global surface temperature due to climate change, makes evident the need to predict the performance of building thermal systems in the near future. Thus, this paper develops and describes an innovative methodology to generate a predictive model of the variables and cost of building thermal systems by mixing Thermoeconomics and Artificial Intelligence methods.Sistema termikoakEraikinakTermoekonomiaAdimen artifizialaKlima-aldaketaThermal-systemBuildingsThermoeconomicsArtificial IntelligenceClimate changeArkitekturaInformatikaIngeniaritzaIngurumenaintroduction