Application of radial basis function networks for wind power forecasting

Sideratos, G; Hatziargyriou, ND

dc.contributor.author	Sideratos, G	en
dc.contributor.author	Hatziargyriou, ND	en
dc.date.accessioned	2014-03-01T02:43:57Z
dc.date.available	2014-03-01T02:43:57Z
dc.date.issued	2006	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31563
dc.subject	Artificial Intelligent	en
dc.subject	Fuzzy Logic	en
dc.subject	Numerical Weather Prediction	en
dc.subject	Radial Basis Function	en
dc.subject	Radial Basis Function Network	en
dc.subject	rbf neural network	en
dc.subject	Wind Farm	en
dc.subject	Wind Power	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Fuzzy logic model	en
dc.subject.other	Numerical weather predictions (NWP)	en
dc.subject.other	Electric load forecasting	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Mathematical techniques	en
dc.subject.other	Numerical methods	en
dc.subject.other	Set theory	en
dc.subject.other	Radial basis function networks	en
dc.title	Application of radial basis function networks for wind power forecasting	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11840930_76	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11840930_76	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	In this paper, an advanced system based on artificial intelligence and fuzzy logic techniques is developed to predict the wind power output of a wind farm. A fuzzy logic model is applied first to check the reliability of the numerical weather predictions (NWPs) and to split them in two sub-sets, of good and bad quality NWPs, respectively. Two Radial Basis Function (RBF) neural networks, one for each sub-set are trained next to estimate the wind power. Results from a real wind farm are presented and the added value of the proposed method is demonstrated by comparison with alternative methods. © Springer-Verlag Berlin Heidelberg 2006.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11840930_76	en
dc.identifier.isi	ISI:000241475200076	en
dc.identifier.volume	4132 LNCS - II	en
dc.identifier.spage	726	en
dc.identifier.epage	735	en