Statistical learning for wind power: A modeling and stability study towards forecasting-Reference-Cited by-同舟云学术

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Statistical learning for wind power: A modeling and stability study towards forecasting

Published:2017-09-07 Issue:12 Volume:20 Page:2037-2047
ISSN:1095-4244
Container-title:Wind Energy
language:en
Short-container-title:Wind Energy

Author:

Fischer Aurélie¹,Montuelle Lucie¹^ORCID,Mougeot Mathilde¹,Picard Dominique¹

Affiliation:

1. Laboratoire de Probabilités et Modèles Aléatoires; Université Paris Diderot; Paris 75013 France

Funder

Agence Nationale de la Recherche

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Reference22 articles.

1. Syndicat des Énergies Renouvelables Panorama de l'électricité renouvelable en 2015 2015

2. A review on the young history of the wind power short-term prediction;Costa;Renew Sustainable Energy Rev,2008

3. Probabilistic wind power forecasting using radial basis function neural networks;Sideratos;IEEE Trans Power Syst,2012

4. Wind energy prediction and monitoring with neural computation;Kramer;Neurocomputing,2013

5. Short-term load and wind power forecasting using neural network-based prediction intervals;Quan;IEEE Trans Neural Netw Learn Syst,2014

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