Very short-term spatio-temporal wind power prediction using a censored Gaussian field

dc.contributor.author	Baxevani, Anastassia	en
dc.contributor.author	Lenzi, Amanda	en
dc.creator	Baxevani, Anastassia	en
dc.creator	Lenzi, Amanda	en
dc.date.accessioned	2021-01-25T08:41:25Z
dc.date.available	2021-01-25T08:41:25Z
dc.date.issued	2018
dc.identifier.issn	1436-3240
dc.identifier.uri	http://gnosis.library.ucy.ac.cy/handle/7/62863
dc.language.iso	eng	en
dc.source	Stochastic Environmental Research and Risk Assessment	en
dc.source.uri	https://orbit.dtu.dk/en/publications/very-short-term-spatio-temporal-wind-power-prediction-using-a-cen
dc.title	Very short-term spatio-temporal wind power prediction using a censored Gaussian field	en
dc.type	info:eu-repo/semantics/article
dc.identifier.doi	10.1007/s00477-017-1435-7
dc.description.volume	32
dc.description.issue	4
dc.description.startingpage	931
dc.description.endingpage	948
dc.author.faculty	Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.department	Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtype	Article	en
dc.source.abbreviation	STOCH ENV RES RISK A	en
dc.contributor.orcid	Baxevani, Anastassia [0000-0002-7498-9048]
dc.gnosis.orcid	0000-0002-7498-9048

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