Transformer substation engineering project investment prediction data determination method

Abstract

The invention discloses a transformer substation engineering project investment prediction data determination method, and the method comprises the steps of building a transformer substation engineering project investment prediction index system, collecting and processing the investment prediction index data of the transformer substation engineering project, and building a transformer substation engineering project investment prediction model based on an XGBoost algorithm; and inputting substation engineering project data into the substation engineering project investment prediction model, accurately determining the substation engineering project investment data according to an output result of the substation engineering project investment prediction model, and establishing a substation engineering project investment prediction index system for the purpose of improving substation engineering investment prediction. The transformer substation project investment prediction model based on the XGBoost is constructed, investment prediction data obtained through the XGBoost prediction model can provide accurate reference data for a decision maker, the optimization assistant decision technology of construction investment prediction is supported, and the problem of coordination of data and accuracy of transformer substation project investment prediction is solved.

Description

technical field [0001] The invention relates to the technical field of substation engineering project investment decision-making, in particular to a method for determining investment forecast data of a substation engineering project. Background technique [0002] Power transmission and transformation project construction is the main content of power infrastructure construction, and it is also the main direction of national grid construction investment. The substation project is a project with relatively complicated investment in power transmission and transformation projects. Investment forecasting is the main task in the early decision-making stage of a substation project. With the healthy, rapid and sustainable development of the economy and the increase in the demand for electricity in the whole society, major power companies have large-scale construction of power generation, transmission, and distribution networks to increase power generation. To meet the growing social ...

AI Technical Summary

Problems solved by technology

Second, the natural environment is harsh, the construction is difficult, and the project investment is difficult to control

Compared with traditional machine learning algorithms, it has the advantages of fast running speed, strong generalization ability, high prediction accuracy, and good robustness. In addition, the model of XGBoost algorithm has high interpretability and can be used for prediction of small samples. It has been widely used in runoff prediction, credit card transaction prediction, fault monitoring and other fields, but it has not been deeply applied in the field of substation project investment prediction

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