Research On Analysis Model Of Energy Consumption Statistics Data

With the rapid development of China's transportation industry,the high energy consumption problem of transportation industry has became increasingly prominent.Aviation transportation industry is an important part of the transport industries.With the rapid development of enterprises,the problem of high energy consumption has gradually became a hot issues about numbers of aviation transport enterprises.In order to ensure the effectiveness of energy efficiency optimization,it is very important to analyze the energy consumption data of aviation transportation enterprises.Through the analysis of energy consumption data of aviation transport enterprises,it can provide reference for the enterprises to carry out energy analysis and play an important role in promoting energy conservation optimization of aviation transport enterprises.Firstly,the trend of comprehensive energy consumption of aviation transportation enterprise is analyzed,and the forecasting model of energy consumption sequence based on the ARIMA is established.Combining with the characteristics of energy consumption data,based on the wavelet analysis,energy consumption data sequence is decomposed,the model of energy consumption data sequence for forecast and analysis is established based on the reconstruct the modeling results according the different characteristics of the trend sequence and detail sequence,and try to provide theoretical support for the analysis of energy consumption data of aviation transportation enterprise.Secondly,through the analysis of the energy consumption of aviation transportation enterprise,the consumption of fuel accounts for more than 99%,which is the main energy consumption of aviation transportation enterprises.The principle and data applicability of PCA-BP model and quantitative theory I model is analyzed.And then,the fuel consumption and influencing factors by quantitative theory I model is analyzed.A reasonable and effective analysis model of fuel consumption for enterprise is provided.Finally,from the perspective of optimizing fuel management,the influencing factors of fuel consumption is analyzed,which is based on the QAR data.Then analyze the fuel consumption and the influencing factors of fuel by the method of multiple regression analysis,and try to find the optimization strategies of fuel consumption.