DocumentCode :
3577552
Title :
Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
Author :
Join, Cedric ; Voyant, Cyril ; Fliess, Michel ; Muselli, Marc ; Nivet, Marie-Laure ; Paoli, Christophe ; Chaxel, Frederic
Author_Institution :
CRAN, Univ. de Lorraine, Vandoeuvre-lès-Nancy, France
fYear :
2014
Firstpage :
1
Lastpage :
6
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.
Keywords :
geophysical techniques; numerical analysis; solar power; sunlight; time series; electricity production; irradiation forecasts; numerical simulations; solar irradiance; time series techniques; Forecasting; Market research; Noise; Radiation effects; Time measurement; Time series analysis; Weather forecasting; Meteorological forecasts; big data; electricity production; machine learning; multilayer perceptron; quick fluctuations; solar irradiance and irradiation; time series; trends;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Friendly Energies and Applications (EFEA), 2014 3rd International Symposium on
Type :
conf
DOI :
10.1109/EFEA.2014.7059971
Filename :
7059971
Link To Document :
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