Solar energy production: Short-term forecasting and risk management

Abstract : Electricity production via solar energy is tackled via short-term forecasts and risk management. Our main tool is a new setting on time series. It allows the definition of "confidence bands" where the Gaussian assumption, which is not satisfied by our concrete data, may be abandoned. Those bands are quite convenient and easily implementable. Numerous computer simulations are presented.
Liste complète des métadonnées

https://hal-polytechnique.archives-ouvertes.fr/hal-01272152
Contributor : Michel Fliess <>
Submitted on : Wednesday, February 17, 2016 - 12:00:33 PM
Last modification on : Wednesday, March 27, 2019 - 4:41:27 PM
Document(s) archivé(s) le : Saturday, November 12, 2016 - 10:39:16 PM

File

MIM16_Sun.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01272152, version 2
  • ARXIV : 1602.06295

Citation

Cédric Join, Michel Fliess, Cyril Voyant, Frédéric Chaxel. Solar energy production: Short-term forecasting and risk management. 8th IFAC Conference on Manufacturing Modelling, Management & Control (MIM 2016), Jun 2016, Troyes, France. ⟨hal-01272152v2⟩

Share

Metrics

Record views

285

Files downloads

562