Data Based Solar Radiation Modelling

This chapter describes the data based solar radiation modelling results obtained from a case study. For the purpose or comparison of different data pre-processing, data selection and data modelling approaches, the data (6-hourly records and daily) from the River Brue catchment has been used. The Gamma Test , Entropy theory , AIC (Akaike’s information criterion)/BIC (Bayesian information criterion) have been explored with the aid of a nonlinear model LLR, ANFIS and ANNs utilizing 6-h records in first few sections of results and discussions. Later modelling has been performed with Gamma Test and other nonlinear intelligent models and other wavelet conjunction models on daily data from the Brue catchment. Towards end of this chapter, we performed the best and useful data modelling approach for the daily solar radiation modelling at the Brue catchment in terms of very simple overall model utility comparison.

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