Machine Learning Prediction of Hourly Electricity Load and Renewable Generation Capacity Factors in U.S. Balancing Authorities Using Weather and Climate Data

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dc.contributor.advisorJordan Kern, Chair
dc.contributor.advisorSara Shashaani, Member
dc.contributor.advisorBenjamin Rachunok, Member
dc.contributor.authorWibowo, Troy Agung
dc.date.accepted2025-06-24
dc.date.accessioned2025-07-25T12:30:33Z
dc.date.available2025-07-25T12:30:33Z
dc.date.defense2025-04-30
dc.date.issued2025-04-30
dc.date.released2025-07-25
dc.date.reviewed2025-05-16
dc.date.submitted2025-05-12
dc.degree.disciplineIndustrial Engineering
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.identifier.otherdeg42368
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/45590
dc.titleMachine Learning Prediction of Hourly Electricity Load and Renewable Generation Capacity Factors in U.S. Balancing Authorities Using Weather and Climate Data

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