Application of artificial neural network and genetic algorithm to forecasting of wind power output

dc.contributor.author	Lin, Tzu Chao
dc.date.accessioned	2008-01-08T07:49:32Z
dc.date.available	2008-01-08T07:49:32Z
dc.date.issued	2007
dc.identifier.other	oai:jykdok.linneanet.fi:1036377
dc.identifier.uri	https://jyx.jyu.fi/handle/123456789/8174
dc.format.extent	56 sivua
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.rights	In Copyright	en
dc.subject.other	artificial neural network
dc.subject.other	genetic algorithm
dc.subject.other	wind power
dc.subject.other	forecasting
dc.title	Application of artificial neural network and genetic algorithm to forecasting of wind power output
dc.type	master thesis
dc.identifier.urn	URN:NBN:fi:jyu-2007564
dc.type.dcmitype	Text	en
dc.type.ontasot	Pro gradu -tutkielma	fi
dc.type.ontasot	Master’s thesis	en
dc.contributor.tiedekunta	Matemaattis-luonnontieteellinen tiedekunta	fi
dc.contributor.tiedekunta	Faculty of Sciences	en
dc.contributor.laitos	Fysiikan laitos	fi
dc.contributor.laitos	Department of Physics	en
dc.contributor.yliopisto	University of Jyväskylä	en
dc.contributor.yliopisto	Jyväskylän yliopisto	fi
dc.type.coar	http://purl.org/coar/resource_type/c_bdcc
dc.rights.accesslevel	openAccess	fi
dc.type.publication	masterThesis
dc.contributor.oppiainekoodi	402
dc.subject.yso	neuroverkot
dc.subject.yso	tuulienergia
dc.format.content	fulltext
dc.rights.url	https://rightsstatements.org/page/InC/1.0/
dc.type.okm	G2

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