Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
Abstract
This communication is devoted to solar irradiance and irradiation short-term forecasts, which are useful for electricity production. Several different time series approaches are employed. Our results and the corresponding numerical simulations show that techniques which do not need a large amount of historical data behave better than those which need them, especially when those data are quite noisy.
Domains
Environmental Sciences Environmental Engineering Computer Science [cs] Machine Learning [cs.LG] Computer Science [cs] Databases [cs.DB] Computer Science [cs] Neural and Evolutionary Computing [cs.NE] Statistics [stat] Machine Learning [stat.ML] Mathematics [math] Statistics [math.ST] Statistics [stat] Statistics Theory [stat.TH] Mathematics [math] Logic [math.LO]
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