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Method for predicting economic output through electricity consumption data

A data forecasting and power consumption technology, applied in forecasting, data processing applications, instruments, etc., can solve problems such as low accuracy rate and insufficient economic growth, and achieve the effect of improving precision and accuracy

Pending Publication Date: 2019-07-30
ZHEJIANG HUAYUN INFORMATION TECH CO LTD +3
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Problems solved by technology

[0004] However, at the present stage, economists only use linear models for quantitative analysis, and the accuracy rate is low, which is not enough to predict industry economic growth from electricity consumption

Method used

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  • Method for predicting economic output through electricity consumption data
  • Method for predicting economic output through electricity consumption data
  • Method for predicting economic output through electricity consumption data

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Embodiment Construction

[0068] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0069] The present invention comprises the following steps:

[0070] A method of forecasting economic output from electricity usage data comprising the steps of:

[0071] 1) According to the data between the electricity consumption of each department and the industrial development, conduct a correlation test to obtain the industrial development data related to the electricity consumption;

[0072] 2) Input the obtained electricity consumption data into the first prediction model to obtain the first prediction value corresponding to the industrial development;

[0073] 3) Input the obtained electricity consumption data into the second prediction model to obtain the second prediction value corresponding to the industrial development;

[0074] 4) Judge the difference between the first predicted value and the second predicted value, an...

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Abstract

The invention discloses a method for predicting economic output through power consumption data, and relates to the technical field of power load prediction. At present, only a linear model is appliedfor quantitative analysis, and the accuracy is low. The method comprises the following steps: carrying out correlation inspection according to data between electricity consumption of each department and industrial development, and obtaining industrial development data related to the electricity consumption; inputting the obtained power consumption data into a first prediction model to obtain a first prediction value corresponding to industrial development; inputting the obtained power consumption data into a second prediction model to obtain a second prediction value corresponding to industrial development; judging a difference value between the first prediction value and the second prediction value, and correcting the first prediction model and the second prediction model when the difference value is greater than a threshold value; and when the difference value is smaller than the threshold value, taking the average value of the first predicted value and the second predicted value asa predicted value corresponding to industry development. According to the technical scheme, the nonlinear regression model is adopted, the two prediction models are comprehensively monitored, and theprecision and the accuracy are effectively improved.

Description

technical field [0001] The invention relates to the technical field of power load forecasting, in particular to a method for forecasting economic output through power consumption data. Background technique [0002] Electricity is an important foundation of the national economy. Electricity production has a strong response to industries that use electric energy as an important means of production, and this response is embodied in the direct effect of industrial production and electricity consumption. The market mechanism and policy regulation in the process of economic operation have promoted the development and progress of some or even all industries, making each industry gradually transform from high energy consumption to low energy consumption, and low profit to high profit. Changes in industrial structure mean changes in power consumption patterns. It can be seen that the fluctuation of power load is closely related to the change of macro economy, and it is of great sig...

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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 张利军陈昊张密谭煌李媛刘婧谷凯郭俊岑严华江
Owner ZHEJIANG HUAYUN INFORMATION TECH CO LTD
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