Construction And Empirical Analysis Of Intelligent Prediction Model For Electric Grid Project Cost

2019 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING (ICAESEE 2019)(2020)

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摘要
China's economic situation has entered a new normal development period, the growth rate of national economic development has fallen, and the state has comprehensively implemented various measures such as price reduction and fee reduction, which makes the operation of electric power enterprises face greater pressure. In this paper, Shandong power transmission and transformation project is taken as the research object, using big data analysis technology and current popular intelligent algorithm to build the intelligent prediction model of power grid project cost, to assist in investment decision-making, reduce the balance rate, strengthen the fine control of investment, improve the precise control level of investment, and enhance the competitiveness of enterprises.
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