Modelling and Prediction of Monthly Global Irradiation Using Different Prediction Models
نویسندگان
چکیده
Different prediction models (multiple linear regression, vector support machines, artificial neural networks and random forests) are applied to model the monthly global irradiation (MGI) from different input variables (latitude, longitude altitude of meteorological station, month, average temperatures, among others) areas Galicia (Spain). The were trained, validated queried using data three stations, each best was checked in two independent stations. results obtained confirmed that methodology is ANN which presents lowest RMSE value validation querying phases 1226 kJ/(m2?day) 1136 kJ/(m2?day), respectively, predict conveniently for 2013 2094 respectively. Given good obtained, it convenient continue with design analysis irradiation.
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ژورنال
عنوان ژورنال: Energies
سال: 2021
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en14082332