Method and device for predicating demand of goods and materials for power distribution network construction

Abstract

A method for predicating demand of goods and materials for power distribution network construction includes the steps: acquiring historical project preset attributive parameters and historical project goods and material usage amounts, using a clustering algorithm to cluster the historical project goods and material usage amounts to determine clusters, using a key word frequency analytical method to determine project type attributes of the clusters, and stabilizing the various historical project goods and material usage amounts within a preset range; according to the historical project preset attributive parameters, the historical project goods and material usage amounts, preset implied node numbers and the project type attributes, using a preset algorithm to set up a predication model, and determining an implied node weight parameter matrix according to the prediction model; and acquiring to-be-predicated project preset attributive parameters and a to-be-predicated project type attribute, and using the predication model to determine the corresponding to-be-predicated project goods and material usage amount according to the to-be-predicated project preset attributive parameters and the to-be-predicated project type attribute. A device corresponding to the method is further provided, the project type attributes are set up, and accuracy in determination of the goods and material usage amount is improved.

Description

technical field [0001] The invention relates to a forecasting method, in particular to a forecasting method and device for materials demand for power distribution network construction. Background technique [0002] As the third profit source of modern enterprises, material management has increasingly become an important part of enterprise strategy, and an important force to improve enterprise operating efficiency and enhance core competitiveness. For material-intensive enterprises (such as power companies), the importance and urgency of material management are even more prominent. Material demand forecasting is based on historical material use data, using data mining methods, to discover the inherent laws of material use, to guide enterprises in the future material input and use (such as procurement, logistics, storage, requisition, etc.), to reduce manpower, material resources, and financial resources It is an important method to improve the efficiency of enterprises, and ...

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide a method and device for forecasting the demand for materials for power distribution network construction in order to improve the accuracy of demand forecasting for power distribution network construction materials.

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