Comparison of power scheduling outcomes in electricity markets

Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/59535

Full metadata record

DC Field	Value	Language
dc.contributor.author	Somboon Nuchprayoon	en_US
dc.contributor.author	Miroslav M. Begović	en_US
dc.date.accessioned	2018-09-10T03:16:54Z	-
dc.date.available	2018-09-10T03:16:54Z	-
dc.date.issued	2009-12-17	en_US
dc.identifier.other	2-s2.0-71849085559	en_US
dc.identifier.other	10.1109/PES.2009.5275501	en_US
dc.identifier.uri	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=71849085559&origin=inward	en_US
dc.identifier.uri	http://cmuir.cmu.ac.th/jspui/handle/6653943832/59535	-
dc.description.abstract	Power scheduling outcomes are observed through a comparison of three objective functions of power scheduling problem to reflect competition in electricity markets. Based on economic principles of nodal pricing, the optimal solutions of power scheduling problems are determined and analyzed. Sensitivity analysis and Monte Carlo simulations are employed to develop a framework for analyzing outcomes of power scheduling given that demand and cost data are private information. ©2009 IEEE.	en_US
dc.subject	Energy	en_US
dc.subject	Engineering	en_US
dc.title	Comparison of power scheduling outcomes in electricity markets	en_US
dc.type	Conference Proceeding	en_US
article.title.sourcetitle	2009 IEEE Power and Energy Society General Meeting, PES '09	en_US
article.stream.affiliations	Chiang Mai University	en_US
article.stream.affiliations	Georgia Institute of Technology, School of Electrical and Computer Engineering	en_US
Appears in Collections:	CMUL: Journal Articles

Files in This Item:

There are no files associated with this item.