Unit commitment using ai techniques under de regulated environment

dc.contributor.guide	Dr. G. Selva Kumar
dc.coverage.spatial	Electrical Engineering
dc.creator.researcher	K. Venkatesan
dc.date.accessioned	2016-10-13T09:51:00Z
dc.date.available	2016-10-13T09:51:00Z
dc.date.awarded	17-08-2016
dc.date.completed	20-05-2015
dc.date.registered	23-08-2010
dc.description.abstract	No newline
dc.description.note	Summary and Conclusion -187--193, References 194-203
dc.format.accompanyingmaterial	None
dc.format.dimensions	---
dc.format.extent	xvi, 203 P
dc.identifier.uri	http://hdl.handle.net/10603/111102
dc.language	English
dc.publisher.institution	Department of Electrical Engineering
dc.publisher.place	Anantapuram
dc.publisher.university	Jawaharlal Nehru Technological University, Anantapuram
dc.relation	No. of References -100
dc.rights	university
dc.source.university	University
dc.subject.keyword	Electrical Engineering
dc.subject.keyword	Forecasted Load Demand
dc.subject.keyword	Unit Commitment is a nonlinear
dc.title	Unit commitment using ai techniques under de regulated environment
dc.title.alternative
dc.type.degree	Ph.D.