Wind speed forecasting for power system operational planning

Wang, X; Sideratos, G; Hatziargyriou, N; Tsoukalas, L

dc.contributor.author	Wang, X	en
dc.contributor.author	Sideratos, G	en
dc.contributor.author	Hatziargyriou, N	en
dc.contributor.author	Tsoukalas, L	en
dc.date.accessioned	2014-03-01T02:49:41Z
dc.date.available	2014-03-01T02:49:41Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34689
dc.subject	Artificial Neural Network	en
dc.subject	Linear Regression	en
dc.subject	Mathematical Model	en
dc.subject	Power Market	en
dc.subject	Power System Operation	en
dc.subject	Process Improvement	en
dc.subject	Random Process	en
dc.subject	Wind Power	en
dc.subject	Wind Speed	en
dc.title	Wind speed forecasting for power system operational planning	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/PMAPS.2004.242254	en
heal.identifier.secondary	http://dx.doi.org/10.1109/PMAPS.2004.242254	en
heal.publicationDate	2004	en
heal.abstract	Wind power is a necessary addition to traditional power market. Wind power prediction therefore is necessary because of the intermittence nature of wind. A lot of studies have been performed to accurately predict wind power and local wind speed. In this paper, an artificial neural network based predictor is described to predict wind speed, which can be mathematically modeled as	en
heal.journalName	International Conference on Probabilistic Methods Applied to Power Systems	en
dc.identifier.doi	10.1109/PMAPS.2004.242254	en