Applications of artificial intelligence techniques in wind power generation

Papathanassiou, SA; Kladas, AG; Tegopoulos, JA

dc.contributor.author	Papathanassiou, SA	en
dc.contributor.author	Kladas, AG	en
dc.contributor.author	Tegopoulos, JA	en
dc.date.accessioned	2014-03-01T01:16:10Z
dc.date.available	2014-03-01T01:16:10Z
dc.date.issued	2001	en
dc.identifier.issn	1069-2509	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13955
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0034819481&partnerID=40&md5=6b29a255b5d2170462ec5c01df8639a2	en
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0034819481&partnerID=40&md5=6b29a255b5d2170462ec5c01df8639a2	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.other	Backpropagation	en
dc.subject.other	Decision theory	en
dc.subject.other	Neural networks	en
dc.subject.other	Permanent magnets	en
dc.subject.other	Power generation	en
dc.subject.other	Wind power	en
dc.subject.other	Wind turbines	en
dc.subject.other	Decision trees (DT)	en
dc.subject.other	Electric grid	en
dc.subject.other	Artificial intelligence	en
dc.title	Applications of artificial intelligence techniques in wind power generation	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	The paper presents two applications of Artificial Inteflligence techniques, namely Artificial Neural Networks (ANNs) and Decision Trees (DTs), in wind power generation. The first concerns the design procedure of a permanent magnet generator for a 20 kW wind turbine prototype. This work has been developed in the frame of a research project funded by the General Secretariat for Research and Technology of Greece, concerning the design and construction of a gear-less wind turbine for both autonomous and interconnected operation with the electrical grid. The second application concerns the security assessment of networks including wind farms and has been developed in the frame of JOULE-II European Community research programme. The results from the application of ""learning from examples"" methods, namely ANNs and DTs, for the fast dynamic security assessment of the power system of Lemnos island are presented and comparatively assessed.	en
heal.publisher	IOS PRESS	en
heal.journalName	Integrated Computer-Aided Engineering	en
dc.identifier.isi	ISI:000171638600005	en
dc.identifier.volume	8	en
dc.identifier.issue	3	en
dc.identifier.spage	231	en
dc.identifier.epage	242	en