This study aims to conduct data mining research on the time series energy consumption dataset of a small hotel. Earlier studies on data mining have demonstrated that cluster and association analysis had been commonly used methods today, while this has not yet been investigated under time series dimension. For that consequence, this article utilizes K-shape and Apriori algorithm coded by python language to explore the time series energy consumption data of the small hotel in terms of the subentry and total energy consumption. Final results reveal that the energy consumption curve and association rules can effectively reflect the working characteristics of the small hotel. From the clustering results, the small hotel working feature and weather condition determine the time-series energy consumption curve shape. As for association rules, there is a different chain relationship between the energy consumption of each subentry and total energy consumption of the small hotel, especially the consumption of heating gas and cooling, which mainly determines the changes in other energy consumption.
The purpose of this study is to conduct data mining research on building time series energy consumption data set. Research done so far mainly focused on cluster analysis. In this research, python language is used as the carrier, K-shape algorithm is adopted to perform cluster analysis on the time series energy consumption data from the perspective of time series. By analyzing the characteristics of its time series changes, the corresponding energy consumption patterns are obtained, and then corresponding energy saving measures are proposed to complete the construction of the entire method system. The final results show that the energy consumption curve obtained by clustering algorithm can effectively reflect the operation characteristics of the building. At the same time, based on the principle of peak cutting and valley filling, the energy consumption curve can be adjusted according to the characteristics of different modes, so that the building can effectively achieve the effect of energy saving.
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