A hybrid power plant (Solar-Wind-Hydrogen) model based in artificial intelligence for a remote-housing application in Mexico

► A hybrid power plant model of 2.5 kW based in artificial intelligence was developed. ► Hybridization of renewable energy sources and hydrogen conversion systems were applied. ► Accuracy in performance prediction of FCMSE = 2.4% and WEMSE = 1.96% were achieved. ► GSR and wind forecast models were developed to estimate the PV and WT energy production. ► The energy management strategy is based on fuzzy logic under real weather conditions.