In order to efficiently reduce building energy consumption and reduce carbon emissions, a review of building energy consumption research using machine learning algorithms is reviewed. First, the basic principles of machine learning are introduced, then building energy consumption data processing based on machine learning methods, and finally, the current status of research on energy consumption of public buildings, residential buildings and building groups based on machine learning methods. Several problems on the current research are pointed out. The proposals that need further study in the future are put forward.
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Advances in the Study of Building Energy Consumption by Machine Learning Method
Semantic Scholar · Engineering · 2020
Abstract
In order to efficiently reduce building energy consumption and reduce carbon emissions, a review of building energy consumption research using machine learning algorithms is reviewed. First, the basic principles of machine learning are introduced, then building energy consumption data processing based on machine learning methods, and finally, the current status of research on energy consumption of public buildings, residential buildings and building groups based on machine learning methods. Several problems on the current research are pointed out. The proposals that need further study in the future are put forward.