Research on Investment Forecast of Substation Project Based on Neural Network Model

Ming ZHOU, Sheng-wei LU, Li MA, Yue MING, Yun PENG, Wen-hao YE


Based on historical datas of substation projects, this report builds an artificial neural network intelligent prediction algorithm by identifying key influence factors. After predicting the cost of 110kV substation projects in a certain province, the results show that the neural network prediction model can quickly predict the construction cost of transmission and transformation projects by inputting key influence factors of the project, and it can achieve the accuracy of project investment in the investment plan filling.


Transformer substation, Neural network, Investment plan, Investment forecast


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