Power distribution network material demand prediction method and device, storage medium and electronic equipment
A technology for power distribution network and materials, applied in prediction, character and pattern recognition, instruments, etc., can solve problems such as subjective judgment errors
Pending Publication Date: 2021-04-06
STATE GRID BEIJING ELECTRIC POWER +1
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[0005] Embodiments of the present invention provide a method and device for forecasting demand for power distribution network materials, storage media, and electronic equipment, so as to at least solve the technical problem of relatively large subjective judgment errors caused by traditional manual prediction of distribution network materials
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[0017] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.
[0018] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...
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The invention discloses an electric power distribution network material demand prediction method and device, a storage medium and electronic equipment. The method comprises the following steps: preprocessing usage record parameters of historical distribution network materials in a target area, distribution network historical planning data and distribution network area economic development data to obtain a preprocessed data set of the distribution network materials in the target area; dividing the preprocessed data set to obtain preprocessed sub-data sets; clustering the preprocessed sub-data sets to obtain a data clustering cluster; inputting the data clustering cluster into a material estimation model so as to output an estimated material usage amount required for operating the power distribution network construction material project in the target area; wherein the material prediction model is a decision-making model which is obtained through multiple times of training by utilizing sample material data and is used for predicting the material usage amount. The technical problem that subjective judgment errors are large due to traditional distribution network material manual prediction is solved.
Description
technical field [0001] The present invention relates to the technical field of power material forecasting, in particular to a method and device for forecasting demand for power distribution network material, a storage medium, and electronic equipment. Background technique [0002] With the development of the Internet of Things, the construction and maintenance of distribution network is one of the important tasks of power system. The related projects of distribution network are complex, and a large amount of materials are required to be consumed in the implementation. By forecasting the demand for distribution network materials, determining the total demand for various materials in power construction projects in the future period, and carrying out reasonable material procurement and mobilization, it is possible to avoid the impact of insufficient materials on the distribution network project, and at the same time reduce the impact caused by excess Risk of backlog of material...
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IPC IPC(8): G06Q50/06G06Q10/04G06K9/62
CPCG06Q50/06G06Q10/04G06F18/23G06F18/24323G06F18/214Y04S10/50
Inventor 陆斯悦徐蕙陈平王艳松李香龙张禄王培祎盛慧慧严嘉慧马龙飞
Owner STATE GRID BEIJING ELECTRIC POWER