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dc.contributor.authorSubbiah, Rajeshen_US
dc.date.accessioned2013-05-24T08:00:47Z
dc.date.available2013-05-24T08:00:47Z
dc.date.issued2013-05-23en_US
dc.identifier.othervt_gsexam:1038en_US
dc.identifier.urihttp://hdl.handle.net/10919/23084
dc.description.abstractEnergy consumption by buildings, due to various factors such as temperature regulation, lighting, poses a threat to our environment and energy resources. In the United States, statistics reveal that commercial and residential buildings combined contribute about 40 percent of the overall energy consumption, and this figure is expected to increase. In order to manage the growing demand for energy, there is a need for energy system optimization, which would require a realistic, high-resolution energy-demand model. In this work, we investigate and model the energy consumption of buildings by taking into account physical, structural, economic, and social factors that influence energy use. We propose a novel activity based modeling framework that generates an energy demand profile on a regular basis for a given nominal day.  We use this information to generate a building-level energy demand profile at highly dis-aggregated level. We then investigate the different possible uses of generated demand profiles in different What-if scenarios like urban-area planning, demand-side management, demand sensitive pricing, etc. We also provide a novel way to resolve correlational and consistency problems in the generation of individual-level and building-level "shared" activities which occur due to individuals\' interactions.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectenergyen_US
dc.subjectbuildingsen_US
dc.subjectactivityen_US
dc.subjectregression modelsen_US
dc.subjectsmart griden_US
dc.subjectdemanden_US
dc.titleAn activity-based energy demand modeling framework for buildings: A bottom-up approachen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Science and Applicationsen_US
dc.contributor.committeechairMarathe, Madhav Vishnuen_US
dc.contributor.committeememberLum, Kristianen_US
dc.contributor.committeememberMarathe, Achlaen_US
dc.contributor.committeememberVullikanti, Anil Kumar S.en_US


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