A cost deviation warning of system based on historical data

Dan Xu; Shuo Wang; Yijiang Liu; Weiwei Li; Huijuan Huo; Yingdan Fan; Litong Dong

doi:10.1117/12.2680423

31 May 2023 A cost deviation warning of system based on historical data

Dan Xu, Shuo Wang, Yijiang Liu, Weiwei Li, Huijuan Huo, Yingdan Fan, Litong Dong

Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 127042R (2023) https://doi.org/10.1117/12.2680423
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China

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.

Citation Download Citation

Dan Xu, Shuo Wang, Yijiang Liu, Weiwei Li, Huijuan Huo, Yingdan Fan, and Litong Dong "A cost deviation warning of system based on historical data", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 127042R (31 May 2023); https://doi.org/10.1117/12.2680423

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