Research on power engineering investment monitoring and early warning based on optimal segmentation theory
Yuanhui Huang, Xiaokui Su, Dunnan Liu, Luqing Liu · 2017
There has been a defining problem of early warning threshold in power project investment, the accuracy and timeliness of early warning also can not be guaranteed. This paper is based on the optimal segmentation theory, combined with the actual situation of power project investment, splits historical engineering data optimally so as to determine the better segment number and give the early warning interval. The optimal partition theory can meet the requirements of the prior control in the pre planning decision stage, avoid the lag of cost management, at the same time, timely warning results makes a good bedding for correcting the investment deviation.