Prediction method, device and processor for electricity consumption

A forecasting method, forecasting device technology, applied in forecasting, data processing applications, instruments, etc.

Inactive Publication Date: 2014-04-23
BEIJING CHINA POWER INFORMATION TECH +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the object of the present invention is to provide a power consumption prediction method, device and processor to solve the problem in the prior art that the direct power consumption of the previous month can be obtained earlier, but only after a period of time can the The specific implementation plan for obtaining the electricity consumption in the business area and the national electricity consumption is as follows:

Method used

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  • Prediction method, device and processor for electricity consumption
  • Prediction method, device and processor for electricity consumption
  • Prediction method, device and processor for electricity consumption

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Embodiment 1

[0055] Embodiment 1 of the present application discloses a power consumption prediction method, see figure 1 As shown in the schematic diagram of the workflow, the electricity consumption prediction method includes:

[0056] Step S11. Determine each known power consumption collection cycle before the power consumption collection cycle to be predicted, obtain the historical direct power consumption data corresponding to each known power consumption collection cycle, and obtain the corresponding Historical operating area electricity consumption data, and / or historical national electricity consumption data.

[0057] In the prior art, electricity consumption is usually counted once a month, so the electricity consumption collection cycle is usually one month, of course, it can also be other time, which is not limited in this application. When the power consumption collection cycle is one month, the known power consumption collection cycle is usually 12, corresponding to 12 differ...

Embodiment 2

[0127] Embodiment 2 of the present application discloses a power consumption prediction device, see Figure 4 As shown in the structural diagram, the power consumption prediction device includes: a first historical data acquisition module 100, a first prediction module 200, a first average relative error acquisition module 300, a calibration prediction model acquisition module 400 and a second prediction module 500 . in,

[0128] The first historical data acquisition module 100 is configured to determine each known power consumption collection period before the power consumption collection period to be predicted, obtain the historical direct power consumption data corresponding to each known power consumption collection period, and obtain the Describe the historical power consumption data of the operating area corresponding to each known power consumption collection cycle, and / or the historical national power consumption data;

[0129] The first prediction module 200 is used...

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Abstract

The invention discloses a prediction method, a device and a processor for electricity consumption. The method comprises the steps of according to a preset prediction model, adopting historical direct supply electricity consumption data corresponding to a known electricity consumption collecting period, or the historical managing area electricity consumption data in a preset time period before the known electricity consumption collecting period, and / or the historical national electricity consumption data for prediction, acquiring the managing area electricity consumption data of each known electricity consumption collecting period and / or the prediction result of the national electricity consumption data, and acquiring the average relative error corresponding to the prediction result; then determining a calibration prediction model corresponding to the known electricity consumption collecting period according to the average relative error; finally selecting the calibration prediction model corresponding to the electricity consumption collecting period to be predicted, and acquiring the managing area electricity consumption data corresponding to the electricity consumption collecting period to be predicted and / or the prediction value of the whole social electricity consumption data by the calibration prediction model. By the method, the national electricity consumption and the managing area electricity consumption can be predicted after the direct supply electricity consumption is obtained.

Description

technical field [0001] The invention relates to the field of power consumption, in particular to a power consumption prediction method, device and processor. Background technique [0002] As an important energy source, electricity plays a pivotal role in daily life and work. With the rapid development of the national economy, the electricity consumption of the whole society and various industries has also grown steadily. According to economic theory, electricity demand depends on Due to the development of the national economy, it is necessary to obtain electricity consumption. The trend of electricity consumption not only affects the production and operation decisions and economic benefits of power grid operators, but also affects the trend analysis of social economy. [0003] When obtaining electricity consumption, the electricity used by the units directly supplying and consuming units in the business area is usually referred to as the direct supply electricity consumption...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
Inventor 胡航海刘道新张健李鸿琪朱大勇
Owner BEIJING CHINA POWER INFORMATION TECH
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