Development of HVAC Optimal Control Algorithms for Cooling Energy Efficiency Improvement in Commercial Buildings Using Machine Learning and Digital Twin Technologies.

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dc.contributor.advisorSoolyeon Cho, Chair
dc.contributor.advisorJianxin Hu, Member
dc.contributor.advisorStephen Terry, Member
dc.contributor.advisorXipeng Shen, Member
dc.contributor.authorSeo, Byeongmo
dc.date.accepted2023-07-21
dc.date.accessioned2023-07-22T12:30:32Z
dc.date.available2023-07-22T12:30:32Z
dc.date.defense2023-06-14
dc.date.issued2023-06-14
dc.date.released2023-07-22
dc.date.reviewed2023-06-29
dc.date.submitted2023-06-23
dc.degree.disciplineDesign
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg34373
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/41175
dc.titleDevelopment of HVAC Optimal Control Algorithms for Cooling Energy Efficiency Improvement in Commercial Buildings Using Machine Learning and Digital Twin Technologies.

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