Reducing energy waste in post-secondary educational institutions using artificial intelligence

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dc.contributor.advisorZareipour, Hamidreza
dc.contributor.authorMotta Cabrera, David Francisco
dc.date.accessioned2017-12-18T22:35:07Z
dc.date.available2017-12-18T22:35:07Z
dc.date.issued2012
dc.descriptionBibliography: p. 136-153en
dc.descriptionSome pages are in colour.en
dc.description.abstractThis thesis focuses on computer-related and lighting energy consumption in post-secondary educational institutions. In this respect, artificial intelligence and data association mining are proposed as tools to identify and reduce energy waste. First, an artificial intelligence­based method for forecasting computer usage is proposed. Based on the models' forecast, workstations can be turned on and off, in order to strike a balance between energy sav­ings and user comfort. The models are evaluated on different datasets and their results compared to commercially available alternatives. Second, a data association mining-based approach is proposed to uncover possible re­lationships between occupancy patterns and lighting-related energy waste in classrooms. A wireless data collection system is used to log data from both lighting consumption and occupancy states during a year. Next, energy savings results of using the proposed approach are compared to those of an occupancy-activated lighting control system for classrooms.
dc.format.extentxv, 153 leaves : ill. ; 30 cm.en
dc.identifier.citationMotta Cabrera, D. F. (2012). Reducing energy waste in post-secondary educational institutions using artificial intelligence (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/4937en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/4937
dc.identifier.urihttp://hdl.handle.net/1880/105938
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleReducing energy waste in post-secondary educational institutions using artificial intelligence
dc.typemaster thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
ucalgary.thesis.accessionTheses Collection 58.002:Box 2114 627942984
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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