Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
Cédric Join, Cyril Voyant, Michel Fliess, Marc Muselli, Marie Laure Nivet, Christophe Paoli, Frédéric Chaxel
arXiv:1409.7476v110 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental study for solar energy forecasting, with limited impact.
The study tackled short-term solar irradiance and irradiation forecasting for electricity production by comparing different time series techniques, finding that methods requiring less historical data performed better, especially with noisy data.
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.