A statistical model of solar radiation daily variability

Author

Langella, Roberto ; Proto, Daniela ; Testa, Alfredo

Author_Institution

Dept. of Ind. & Inf. Eng., Second Univ. of Naples, Aversa, Italy

fYear

2014

fDate

7-10 July 2014

Firstpage

1

Lastpage

6

Abstract

A statistical model to characterize solar radiation taking into account the daily variability is proposed. The model, starting from measured data of solar radiation and historical data referring to its monthly average values, is able to generate synthetic time series. To obtain such scope, it combines information taken from the `clear sky´ theoretical model with the random extraction of the determinations of two random variables suitably defined. The results of numerical applications demonstrate the effectiveness of the proposed model.

Keywords

numerical analysis; solar radiation; statistical analysis; time series; clear sky theoretical model; historical data measurement; monthly average values; numerical applications; random extraction; random variables; solar radiation daily variability; statistical model; synthetic time series; Indexes; Joints; Numerical models; Solar radiation; Statistical analysis; Time measurement; Time series analysis; Solar radiation daily variability; statistical characterization; time series generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on

Conference_Location

Durham

Type

conf

DOI

10.1109/PMAPS.2014.6960671

Filename

6960671