2017
DOI: 10.1016/j.solener.2017.07.045
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Short-term solar radiation forecasting by advecting and diffusing MSG cloud index

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Cited by 74 publications
(45 citation statements)
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“…All these changes have been incorporated in a specific augmentation of the advanced research version of the WRF Model [35] designed for solar energy predictions known as WRF-Solar [36]. WRF-Solar has been extensively tested in the USA [36][37][38][39][40][41] and other countries, such as Spain [42], Singapore [43], Kuwait [44], and Saudi Arabia [45]. Most studies have reported significant improvements in solar irradiance predictions under different sky conditions with WRF-Solar in comparison to standard WRF simulations.…”
Section: Introductionmentioning
confidence: 99%
“…All these changes have been incorporated in a specific augmentation of the advanced research version of the WRF Model [35] designed for solar energy predictions known as WRF-Solar [36]. WRF-Solar has been extensively tested in the USA [36][37][38][39][40][41] and other countries, such as Spain [42], Singapore [43], Kuwait [44], and Saudi Arabia [45]. Most studies have reported significant improvements in solar irradiance predictions under different sky conditions with WRF-Solar in comparison to standard WRF simulations.…”
Section: Introductionmentioning
confidence: 99%
“…For days-ahead predictions, numerical weather prediction (NWP) models have mostly been used. For minutes and hours (0-4 h) ahead forecasts, ground-based cloud images and satellite data, combined with an artificial neural network (ANN) or statistical methods, are most commonly used [8][9][10][11][12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Short-term forecast of cloud cover still poses a challenge to the scientific community, due to the inherent complexity and non-linearity of cloud motion in atmosphere [1][2][3][4][5][6][7]. This topic is of relevance to many fields, including solar energy production [4,[8][9][10][11][12], since the presence of clouds has a significant impact on the stability and energy production of solar plants, causing dangerous fluctuations and of each nowcasting variant previously discussed, and use the most accurate one for predicting solar irradiance maps with AMESIS; the results are then evaluated against the AMESIS-based MSG measurements and the WRF-based irradiance forecast.…”
Section: Introductionmentioning
confidence: 99%