基于数据挖掘的楼宇电力能耗分析模型研究*

电力能耗分析对于建筑楼宇制定有效节能方案具有重要指导意义。提出一种基于K-均值聚类和FP-Growth关联规则的楼宇电力能耗分析模型,对商业楼宇总能耗、分项计量数据、气象温度等数据进行数据挖掘,得到具有一定启发性的强关联规则,为进一步完善楼宇设备的优化运行策略提供理论支撑。将所提方法应用于上海某栋建筑楼宇的能耗分析中,验证了所提方法的有效性和实用性。

Study on the power consumption analysis model of building based on data mining

Power consumption analysis isSinstructiveSto formulate effective energy-saving scheme in buildings. This paper proposes an analysis model of power consumption analysis in buildings based on K-means clustering and FP-Growth association rules. It has been some inspiration of strong association rules through cluster analysis and association analysis to the total energy consumption of commercial buildings, sub metering data and weather temperature, giving the theory support for improving the optimal operation strategy of building equipment. The proposed method was applied to the energy consumption analysis of an office buildings in Shanghai. The results proved that the presented technique is of the validity and practicability.