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dc.contributor.advisorChan, Christine
dc.contributor.advisorLaforge, Paul
dc.contributor.authorWright, Connor James
dc.date.accessioned2013-10-30T18:53:28Z
dc.date.available2013-10-30T18:53:28Z
dc.date.issued2012-10
dc.identifier.urihttp://hdl.handle.net/10294/3798
dc.descriptionA Thesis Submitted to the Faculty of Graduate Studies and Research in Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Software Systems Engineering, University of Regina. vi, 158 p.en_US
dc.description.abstractPower systems in large geographic environments experience diverse weather phenomena. Due to spatial separation and economic diversification, load centres will exhibit differing electrical demand. This diversity of weather and electric loads proves challenging for load forecasters using a single aggregate model. In such systems, aggregate response of these load centres cannot be properly analyzed by a single load-weather model. Instead, the aggregate demand is best explained through multi-region modeling. This thesis describes the load and weather diversity within the control area of an electric utility in the province of Saskatchewan. A Similar Day model is contrasted against Artificial Neural Network (ANN) models based on both an aggregate and two multi-region systems. Results confirm the superior performance of the proposed multi-region load forecasting systems as compared to the two aggregate load forecasting models.en_US
dc.language.isoenen_US
dc.publisherFaculty of Graduate Studies and Research, University of Reginaen_US
dc.titleA Comparison of Aggregate and Multi-Region Load Forecasting Models in Saskatchewanen_US
dc.typeThesisen
dc.description.authorstatusStudenten
dc.description.peerreviewyesen
thesis.degree.nameMaster of Applied Science (MASc)en_US
thesis.degree.levelMaster'sen
thesis.degree.disciplineEngineering - Software Systemsen_US
thesis.degree.grantorUniversity of Reginaen
thesis.degree.departmentFaculty of Engineering and Applied Scienceen_US
dc.contributor.committeememberGelowitz, Craig
dc.contributor.committeememberConroy, Thomas
dc.contributor.externalexaminerDemeter, Elemer
dc.identifier.tcnumberTC-SRU-3798
dc.identifier.thesisurlhttp://ourspace.uregina.ca/bitstream/handle/10294/3798/Wright_Connor_200253522_MASC_SSE_Spring2013.pdf


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