Method for predicting electricity consumption based on business expansion data and econometric model

A technology for industrial expansion and installation and economic model, which is applied in the field of regional electricity consumption forecasting, which can solve the problems affecting the safety of power grid dispatching and operation, the influence of regional electricity consumption, and the fluctuation of the growth rate of installation capacity.

Inactive Publication Date: 2017-01-25
STATE GRID CORP OF CHINA +1
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AI Technical Summary

Problems solved by technology

In recent years, affected by the economic situation, the growth rate of regional industrial expansion and installed capacity has shown a fluctuating trend, which not only has a certain impact on regional electricity consumption, but also affects the safety of power grid dispatching and operation

Method used

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  • Method for predicting electricity consumption based on business expansion data and econometric model
  • Method for predicting electricity consumption based on business expansion data and econometric model
  • Method for predicting electricity consumption based on business expansion data and econometric model

Examples

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Embodiment 1

[0047] Embodiment 1: Below, take Henan Province as an example to further illustrate the present invention.

[0048] Prediction of electricity consumption in Henan Province based on big data and econometric models:

[0049] 1. Cleaning of electricity data in Henan Province based on the expansion report and installation work order of the marketing system

[0050] Based on the Henan Provincial Marketing System Industry Expansion Reporting Work Order, the data of 52 industries and enterprises in Henan Province from January 2014 to June 2016 were cleaned. Expand the information, and the cleaned industrial expansion data will be reflected in the user's electricity data after the installation is completed, so as to ensure that the adopted industrial expansion data is reflected in the electricity bill after the user completes the installation. Key data to be excluded include: data on application for power supply line change, data on application for dual power supply access, and data ...

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Abstract

The invention discloses a method for predicting electricity consumption based on business expansion data and econometric model. Through analysis on regional business expansion data, by adopting econometric model, the relations among business expansion conditions,operation capacity, load utilization ratio and electricity demand is studied within industry classification to build electricity demand prediction model. First,cleaning business expansion data and eliminating information of non-production electricity demand application; then, predicting electricity consumed not in business expansion, electricity consumed in business expansion of all industries and residential electricity consumption, according to which, predicting regional electricity consumption. The invention can better grasp the trend of regional electricity demand and can serve to social development of regional economy as well as safe and stable operation of electricity network.

Description

technical field [0001] The invention relates to a power consumption prediction method, in particular to a regional power consumption prediction based on industry expansion report big data and econometric model support. Background technique [0002] Electricity consumption forecasting is crucial to economic and social development and the balance of supply and demand in power systems. In recent years, affected by the economic situation, the growth rate of regional industrial expansion and installed capacity has shown a fluctuating trend, which not only has a certain impact on regional electricity consumption, but also affects the safety of power grid dispatching and operation. In order to better grasp the trend of regional power demand, serve the regional economic and social development, and ensure the safe and stable operation of the power grid, the present invention is based on the mining of big data on the expansion and installation of regional industries, with the help of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 尹硕白宏坤王江波文耀宽李虎军李宗李文峰宋大为杨萌刘军会邓方钊马任远燕景
Owner STATE GRID CORP OF CHINA
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