Adaptive learning based data-driven models for predicting hourly building energy use
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DOI: 10.1016/j.enbuild.2017.10.054
Abstract: Abstract Accurately predicting energy usage in buildings is of great importance in various efforts on improving building energy efficiencies such as fault detection and diagnostics, building-grid interactions, and building commissioning. Data-driven approach and first-principle approach… read more here.
Keywords: hourly building; energy; data driven; building energy ... See more keywords