Energy consumption analysis of underground railway environmental control based on cluster analysis method

Based on the theory of big data, carries out a cluster analysis on the environmental control energy consumption data of each station of underground railway Line 1 in Nanjing city using the cluster analysis method of data mining, analyses the average daily energy consumption data of the stations with SQL Server 2012 software, and obtains five types of stations based on different energy characteristics. Carries out the data fitting and analysis of the hourly, daily and monthly energy consumption in the air conditioning season (May to October) for I-type station. Establishes the standard energy consumption models for the typical day hourly energy consumption. Puts forward a concept of coefficient of peak environmental control energy consumption. Realizes the energy consumption forecast of all kinds of stations.