Wavelet neural network based wind speed forecasting and optimal scheduling of generation with wind energy storage and demand response

dc.contributor.guide	Devi, R P Kumudini
dc.coverage.spatial	Electrical and Electronics Engineering
dc.creator.researcher	M, Ulagammai
dc.date.accessioned	2018-03-16T05:38:54Z
dc.date.available	2018-03-16T05:38:54Z
dc.date.awarded	n.d.
dc.date.completed	2016
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Data not available
dc.format.accompanyingmaterial	None
dc.format.dimensions	8cm.
dc.format.extent	xxiv, 208p.
dc.identifier.uri	http://hdl.handle.net/10603/196372
dc.language	Others
dc.publisher.institution	Faculty of Electrical and Electronics Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	199-209
dc.rights	university
dc.source.university	University
dc.subject.keyword	Dynamic
dc.subject.keyword	Linearities
dc.subject.keyword	Neglecting
dc.subject.keyword	PDIP
dc.subject.keyword	Shuffled
dc.title	Wavelet neural network based wind speed forecasting and optimal scheduling of generation with wind energy storage and demand response
dc.title.alternative
dc.type.degree	Ph.D.