Cost Estimation Method of Power Engineering Overhead Line Based on ARIMA— RBF Neural Network Model
نویسندگان
چکیده
Factors in the unit investment forecast of overhead line engineering are various and complex, it is very difficult to get the satisfied forecasting effect using traditional econometric models. In view of this characteristic, this thesis puts forward a kind of combination forecast model, using the ARIMA model and RBF neural network model to seek for linear and nonlinear change rule of historical data of overhead line engineering unit investment, and combine all the values. This thesis elaborates on the principles of combination prediction, and it demonstrates the superiority of combination prediction to single prediction model.
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