HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study

Cédric Join 1, 2, 3 Cyril Voyant 4, 5 Michel Fliess 3, 6 Marc Muselli 4 Marie-Laure Nivet 4 Christophe Paoli 7 Frédéric Chaxel 2
1 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
2 CRAN - Centre de Recherche en Automatique de Nancy
3 AL.I.E.N. - ALgèbre pour Identification & Estimation Numériques
4 SPE - Sciences pour l'environnement
5 Unité de Radiothérapie
6 LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
7 Département de Génie Informatique
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 : big data solar irradiance and irradiation electricity production time series big data. trends multilayer perceptron machine learning quick fluctuations Meteorological forecasts
Document type :
Conference papers
Complete list of metadata

Cited literature [32 references]  Display  Hide  Download
https://hal-polytechnique.archives-ouvertes.fr/hal-01068569
Contributor : Michel Fliess Connect in order to contact the contributor
Submitted on : Thursday, September 25, 2014 - 10:36:39 PM
Last modification on : Wednesday, March 23, 2022 - 3:51:06 PM
Long-term archiving on: : Friday, December 26, 2014 - 11:25:29 AM

Files

Vignette du document
EFEA14.METEO.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01068569, version 1
  • ARXIV : 1409.7476

Collections

CNRS | INRIA | LIX | INSMI | X | X-LIX | SPE | UNIV-CORSE | UNIV-CORSE-SPE | CRAN | UNIV-LORRAINE | INRIA2 | CRISTAL | X-DEP-INFO | UNIV-LILLE

Citation

Cédric Join, Cyril Voyant, Michel Fliess, Marc Muselli, Marie-Laure Nivet, et al.. Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study. 3rd International Symposium on Environment-Friendly Energies and Applications, EFEA 2014, Nov 2014, Paris, France. ⟨hal-01068569⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

868

Files downloads

761