<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Numerical weather prediction or stochastic modelling: an objective criterion of choice for the global radiation forecasting

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Journal 01 Jan 2016Embargo end date: 01 Jan 2014 France Publisher:Inderscience PublishersJournal:International Journal of Energy Technology and Policy, volume 12, page 209 (issn: 1472-8923, eissn: 1741-508X,

Authors: Voyant, Cyril; Notton, Gilles; Paoli, Christophe; Nivet, Marie Laure; Muselli, Marc; Dahmani, Kahina;

doi: 10.1504/ijetp.2016.077347 , 10.48550/arxiv.1401.6002

arXiv: http://arxiv.org/abs/1401.6002 , 1401.6002

Numerical weather prediction or stochastic modelling: an objective criterion of choice for the global radiation forecasting

- Summary
- Subjects
- Metrics

Abstract

Numerous methods exist and were developed for global radiation forecasting. The two most popular types are the numerical weather predictions (NWP) and the predictions using stochastic approaches. We propose to compute a parameter noted constructed in part from the mutual information which is a quantity that measures the mutual dependence of two variables. Both of these are calculated with the objective to establish the more relevant method between NWP and stochastic models concerning the current problem.

International Journal of Energy Technology and Policy (2014)

Country

France

Related Organizations

French Institute for Research in Computer Science and Automation
France
University of Corsica Pascal Paoli
France
Centre national de la recherche scientifique
France
University of Corsica Pascal Paoli
France
Galatasaray University
Turkey

Keywords

INFO_IR] Informatique/Recherche d'information [[INFO], FOS: Computer and information sciences, [ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR], Computer Science - Machine Learning, INFO_IR] Computer Science/Information Retrieval [[INFO], prediction, [INFO.INFO-IR] Computer Science/Information Retrieval, Statistics - Applications, Machine Learning (cs.LG), [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], stochastic, Applications (stat.AP), NWP, mutual information

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	6
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%