Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Power distribution network investment demand determination method and device based on combined prediction, equipment and storage medium

A combination of forecasting and determination method technology, applied in market forecasting, instruments, data processing applications, etc., can solve the problems affecting the investment efficiency level of medium and low voltage distribution networks, and the insufficient accuracy of investment demand prediction, so as to improve the lean level of distribution network investment Effect

Pending Publication Date: 2022-03-04
GUANGDONG POWER GRID CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a combination forecast-based determination method, device, equipment and storage medium for distribution network investment demand to solve the problem of insufficient investment demand forecast accuracy in the prior art, which affects the better realization of the investment benefit level of medium and low voltage distribution network

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Power distribution network investment demand determination method and device based on combined prediction, equipment and storage medium
  • Power distribution network investment demand determination method and device based on combined prediction, equipment and storage medium
  • Power distribution network investment demand determination method and device based on combined prediction, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] In order to enable those skilled in the art to better understand the technical solution of the present application, the method, device, equipment and storage medium for determining the distribution network investment demand based on combination forecasting provided by the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments .

[0022] This application proposes a method for determining distribution network investment demand based on combination forecasting, please refer to figure 1 , figure 1 It is a schematic flow chart of an embodiment of the method for determining the investment demand of the distribution network based on the combination forecast in this application. In this embodiment, the method for determining the investment demand of the distribution network based on the combination forecast may include steps S110 to S150, and each step is specifically as follows:

[0023] S110: Based...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a power distribution network investment demand determination method and device based on combined prediction, equipment and a storage medium. The method comprises the following steps: carding factors influencing the investment demand of a power distribution network based on a fishbone diagram method; based on a grey relational analysis model, screening factors to obtain key factors influencing the investment demand of the distribution network; obtaining medium and low voltage distribution network investment scale and key factor historical data; establishing a distribution network investment demand prediction model by using a support vector machine method, a linear regression method and a grey prediction method; and inputting the key factors, the medium and low voltage distribution network investment scale and the historical data of the key factors into the distribution network investment demand prediction model to obtain a prediction result. Through the above mode, the method can achieve the precise prediction of the investment demands of the medium and low voltage distribution network, and provides a decision basis for a power grid enterprise to improve the lean level of the investment of the distribution network.

Description

technical field [0001] The present application relates to the technical field of medium and low voltage distribution network investment, and in particular to a method, device, equipment and storage medium for determining distribution network investment demand based on combination forecasting. Background technique [0002] In recent years, in order to adapt to the situation of rapid economic and social development, power grid companies have invested large-scale funds in the construction of medium and low voltage distribution networks, and have carried out transformation and upgrading of urban and rural medium and low voltage distribution networks, effectively supporting the rapid growth of electricity demand and reliable power supply. Continuous improvement of performance and power quality. In the case that the investment scale of medium and low voltage distribution networks continues to remain high, there are also problems such as heavy investment, low income, heavy project ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q50/06
CPCG06Q30/0203G06Q30/0201G06Q50/06Y04S10/50Y04S50/14
Inventor 张雪莹张跃马顺陈铭余娜赖来源廖振朝李浩何昌皓曾强唐力则
Owner GUANGDONG POWER GRID CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products