2013
DOI: 10.1016/j.rser.2013.06.042
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Review of solar irradiance forecasting methods and a proposition for small-scale insular grids

Abstract: Integration of solar energy into the electricity network is becoming essential because of its continually increasing growth in usage. An efficient use of the fluctuating energy output of photovoltaic (PV) systems requires reliable forecast information. In fact, this integration can offer a better quality of service if the solar irradiance variation can be predicted with great accuracy.This paper presents an in-depth review of the current methods used to forecast solar irradiance in order to facilitate selectio… Show more

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Cited by 655 publications
(452 citation statements)
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“…In the review of solar irradiance models Diagne et al [46] discuss the accuracy, computational requirements for predicting solar irradiance at various time horizons along with hybrid models for the combination of both very short term and longer term predictive models.…”
Section: Models For Solar Irradiationmentioning
confidence: 99%
“…In the review of solar irradiance models Diagne et al [46] discuss the accuracy, computational requirements for predicting solar irradiance at various time horizons along with hybrid models for the combination of both very short term and longer term predictive models.…”
Section: Models For Solar Irradiationmentioning
confidence: 99%
“…There are also some studies focusing specifically on different topics related to insular areas and relevant power system operations. Diagne et al [11] introduced a review of solar forecasting methods specifically to aid insular power system operations. Brito et al [12] presented the details of an imaginary insular power system that was assumed as carbon free and also discussed the pros/cons of integrating sustainable energy resources and ways to overcome the possible drawbacks.…”
Section: Introductionmentioning
confidence: 99%
“…Regarding solar energy forecasting, the first attempts made for predicting solar irradiance can be traced back to [10]. Comprehensive reviews of the status of forecasting solar irradiance on different time scales for energy generation are reported in [11,12], while different forecasting techniques to predict solar power output are evaluated and compared in [13,14]. In addition to these references, an interesting review of a wide range of forecasting tools as statistical and computational intelligence models, focused on electricity price forecasting, can be found in [15].…”
Section: Introductionmentioning
confidence: 99%