Improving Building Energy Efficiency Utilizing Machine Learning Technologies: Real-Time Performance Simulation Using Real-Time Weather Data for Energy Savings in Commercial Buildings

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dc.contributor.advisorSoolyeon Cho, Chair
dc.contributor.advisorJianxin Hu, Member
dc.contributor.advisorTraci Rider, Member
dc.contributor.advisorKhaled Abdel Harfoush, Member
dc.contributor.authorGaballa, Hany Mohamed Mokhtar
dc.date.accepted2020-11-10
dc.date.accessioned2020-11-12T13:30:55Z
dc.date.available2020-11-12T13:30:55Z
dc.date.defense2020-10-26
dc.date.issued2020-10-26
dc.date.released2020-11-12
dc.date.reviewed2020-10-28
dc.date.submitted2020-10-28
dc.degree.disciplineDesign
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg23161
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38368
dc.titleImproving Building Energy Efficiency Utilizing Machine Learning Technologies: Real-Time Performance Simulation Using Real-Time Weather Data for Energy Savings in Commercial Buildings

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