Abstract
This paper proposes a method for identifying abnormal energy consumption based on building big data and fuzzy models, which can accurately identify abnormal energy consumption in buildings. Firstly, building big data is collected and extracted to construct various building energy data sets; Secondly, on the basis of the constructed building energy consumption sets, the k-means clustering method is used to construct a fuzzy model of normal energy consumption; Finally, through the matching degree of each real-time building energy consumption data with the normal energy consumption fuzzy model, it is judged whether there is abnormal energy consumption behavior in the building. The experimental results show that the method proposed in this paper has a good effect on the recognition of abnormal energy consumption conditions.
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