Appliance Energy Prediction in a Low Energy House using Machine Learning and Deep Learning

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dc.contributor.authorAhmad Yasin (F2019019041)
dc.contributor.authorAhmar Amin (F2019019046)
dc.date.accessioned2025-02-16T12:06:45Z
dc.date.available2025-02-16T12:06:45Z
dc.date.issued2019
dc.description34 pages, illustartion.
dc.description.abstractTo discuss machine learning and deep learning data driven predictive model for the electrical load forecasting of energy appliances in home.
dc.identifier.urihttps://escholar.umt.edu.pk/umt-archives/3788
dc.language.isoen
dc.publisherDepartment of Electrical Engineering School of Engineering (SEN) University of Management and Technology, Lahore.
dc.titleAppliance Energy Prediction in a Low Energy House using Machine Learning and Deep Learning
dc.typeThesis
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