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dc.contributor.authorDu, Zhenyuanen_US
dc.identifier.citationDu, Z. (2022). Probabilistic forecasting of residential load power for smart home. Master's thesis, Nanyang Technological University, Singapore.
dc.description.abstractDue to the stochastic nature of occupants’ behaviors, forecasting individual household-level residential load for smart home has been a challenging problem. This paper proposes a probabilistic residential load power forecasting method for smart home considering three aspects: deep-learning-based point-forecasting of residential load, prediction intervals to estimate the load uncertainties, and non-intrusive load monitoring (NILM).en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleProbabilistic forecasting of residential load power for smart homeen_US
dc.typeThesis-Master by Courseworken_US
dc.contributor.supervisorXu Yanen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US
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