Application of Investment Forecast Model for Power Equipment Replacement Based on Big Data
Since the concept of big data was put forward,it has generated huge impacts on various walks of social economy,and its application value has already been proved.Along with the continuous development of electric power industry,the traditional analysis methods are hard to handle the increasingly complicated operating data of power grid,so the introction of big data becomes a tendency.Based on "Asset Wall" analysis method,this study uses big data technology to store,filter and process grid operation data,and builds a "Asset Wall" model for power transformation and transmission primary equipments.Besides,the model forms a multi-dimensional evaluation system based on the big data analysis method and the huge structural and unstructural information,whereby accurately forecast the equipment expected service life and replacement investment.The application of this investment forecast model could help to forecast and plan the investment scale of the future equipment replacement,and increase the fund expenditure smoothness and maximize the utilization of investment funds for the company.
NETL
NSTL
万方数据
维普
