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Electric power material prediction method

A technology of electric power materials and forecasting methods, applied in the field of power material supply data analysis, can solve problems such as failure to establish a dynamic demand forecast and control model, failure to achieve material demand and supply accuracy, failure to realize early warning and dynamic reminders, etc., to achieve improvement Satisfaction, strengthening the horizontal connection of materials, reducing the effect of material waste and idle

Inactive Publication Date: 2018-05-04
GUANGDONG POWER GRID CO LTD LOGISTICS SERVICE CENT
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AI Technical Summary

Problems solved by technology

However, there are still the following problems: the material demand and supply accuracy of each link has not met the requirements of the intelligent supply chain; the corresponding dynamic demand forecast and control model has not been established, and the early warning and dynamic reminder of the demand for each link have not been realized. Logical Research on Taking Numbers from Medium

Method used

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  • Electric power material prediction method

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Embodiment 1

[0029] A power material forecasting method, such as figure 1 shown, including the following steps:

[0030] S1: Organize the data of electric power materials, select data samples, and classify the data samples;

[0031] By sorting and analyzing the original data, using complete and representative data samples, extracting training set data and test set data from them to test the prediction performance of the model.

[0032] S2: Analyze the power material data by using the astrology chart, such as figure 2 As shown, the size of the sector in the astrology chart corresponds to the quantity of declared power materials, and different chromaticity represents different materials; it can also be roughly seen that there are obvious differences between the early and recent material declarations, and some materials have been consolidated in the past. The situation that no demand has been declared during the year.

[0033] S3: Determine the materials that need to be predicted accordin...

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Abstract

The invention discloses an electric power material prediction method. Material data is arranged, and then, a horoscop and an ARIMA (Autoregressive Integrated Moving Average) model are used for prediction. The electric power material is predicted, the horizontal linkage of the materials of a power grid company is reinforced, the construction of a smart supply chain is powerfully accelerated, a situation that materials are wasted and idle is lowered, material management efficiency is improved, the satisfaction of staff is improved, and valuable experience is provided for the material managementwork of China Southern power grids.

Description

technical field [0001] The present invention relates to the field of analysis of electric power material supply data, and more specifically, relates to a method for predicting electric power material. Background technique [0002] Electric power material management is a basic work, which involves engineering construction, cost management and safety production. To strengthen the work of electric power materials, it is necessary to continuously improve the management system, improve efficiency, reduce costs, implement effective monitoring of the material procurement and supply process, better meet the needs of engineering construction, better serve the production and operation management of enterprises, and pursue the ultimate goal of material supply. Coordination and timeliness, rationality of inventory management, material quality and quality of material services. [0003] The focus of power material plan management has also developed from the statistical function of a sing...

Claims

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Application Information

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IPC IPC(8): G06Q10/08G06Q10/04G06Q50/06
CPCG06Q10/04G06Q10/087G06Q50/06Y04S10/50
Inventor 庄圣强成可苗汤慧敏冯海东许丹妮
Owner GUANGDONG POWER GRID CO LTD LOGISTICS SERVICE CENT
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