2021
DOI: 10.1016/j.ijleo.2021.167145
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Correlating clearness index with cloud cover and other meteorological parameters for forecasting the global solar radiation over Morocco

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Cited by 14 publications
(5 citation statements)
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“…The source of the data used is critical to the performance of a model [7] and the more relevant data available, the better the prediction. With regards to data type, some studies pair the solar energy produced from solar panels with either exclusively historically observed data [8][9][10][11][12][13][14][15][16][17][18] or forecast data [19][20][21][22]. Others use only the historical PV output data [23,24].…”
Section: Data Source and Typementioning
confidence: 99%
“…The source of the data used is critical to the performance of a model [7] and the more relevant data available, the better the prediction. With regards to data type, some studies pair the solar energy produced from solar panels with either exclusively historically observed data [8][9][10][11][12][13][14][15][16][17][18] or forecast data [19][20][21][22]. Others use only the historical PV output data [23,24].…”
Section: Data Source and Typementioning
confidence: 99%
“…They also proposed the use of probability metrics q 50 , q 95 , and q 99 based on the frequency distribution of global solar radiation to estimate the periods in which photovoltaic systems generate surplus energy. Sengupta et al [30] established that in the first stages of solar projects, extensive information on the solar resource must be available and the origin and period of data collection must be detailed (they worked with 50 global and regional databases with solar radiation information and environmental conditions). Using a statistical approach, they established two criteria to select the appropriate information: the variability that responds to the spatio-temporal differences in the solar resources in the world.…”
Section: Introductionmentioning
confidence: 99%
“…The sunshine-based model was the first to be developed among the four types of models. Later, the model based on average daily temperature (T a ) (Sheik and Rao, 2021), cloud cover (CC) (Yakoubi et al, 2021), and other meteorological parameters was developed to improve accuracy (Naserpour et al, 2021). The input of multiple meteorological parameters improves the prediction accuracy of the model, but at the cost of the model's complexity (Okundamiya and Emagbetere, 2016).…”
Section: Introductionmentioning
confidence: 99%