A cost deviation warning of system based on historical data

Abstract

The thesis proposes a new methodology of cost dynamic management to realize the whole process of power transmission and transformation project cost dynamic management. Based on historical cost data to modify expected cost control, building cost goal deviation classified warning system, using BP artificial neural network method for the cost of the deviation of the dynamic monitoring, power transmission and transformation project cost target deviation classified warning model is established. In the case of a substation project, to make a validation method. The results show that the proposed method is feasible and can achieve dynamic monitoring and early warning of power transmission and transformation project cost target deviation.