Application of system identification modelling to solar hybrid systems for predicting radiation, temperature and load

摘要

Uncertanies in local solar radiation, ambient temperature and thermal load data have been one of the major factors limiting the reliability and efficiency of solar hybrid systems. In the present paper, moving average auto regresive exogenous (ARX) model based reasoning has been mooted and modified to include movign average method, as an effective tool for predictions of these data. The results show that the method is quite robust and is capable of prediting farirly accurate results, which would make these systems more viable in areas where meteorological data are not available or vague.