Schyska, Bruno U. and Couto, António and von Bremen, Lueder and Estanqueiro, Ana and Heinemann, Detlev (2017) Weather dependent estimation of continent-wide wind power generation based on spatio-temporal clustering. Advances in science and research, 14. pp. 131-138. ISSN 1992-0636

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Abstract

Europe is facing the challenge of increasing shares of energy from variable renewable sources. Furthermore, it is heading towards a fully integrated electricity market, i.e. a Europe-wide electricity system. The stable operation of this large-scale renewable power system requires detailed information on the amount of electricity being transmitted now and in the future. To estimate the actual amount of electricity, upscaling algorithms are applied. Those algorithms – until now – however, only exist for smaller regions (e.g. transmission zones and single wind farms). The aim of this study is to introduce a new approach to estimate Europe-wide wind power generation based on spatio-temporal clustering. We furthermore show that training the upscaling model for different prevailing weather situations allows to further reduce the number of reference sites without losing accuracy.

Item Type:	Article
Additional Information:	Publiziert mit Hilfe des DFG-geförderten Open Access-Publikationsfonds der Carl von Ossietzky Universität Oldenburg.
Subjects:	Science and mathematics > Earth sciences and geology
Divisions:	Faculty of Mathematics and Science > Institute of Physics (IfP)
Date Deposited:	28 Sep 2017 13:17
Last Modified:	09 Nov 2017 10:13
URI:	https://oops.uni-oldenburg.de/id/eprint/3353
URN:	urn:nbn:de:gbv:715-oops-34348
DOI:	10.5194/asr-14-131-2017
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