Unlock instant, AI-driven research and patent intelligence for your innovation.

Short-term power load prediction method based on data mining

A short-term power load and power load technology, applied in forecasting, data processing applications, instruments, etc., can solve the problems of poor power load data capability, algorithm optimization, insufficient consideration of influencing factors, etc., to improve reliability and reduce non-stationarity. , the effect of improving the prediction accuracy

Pending Publication Date: 2020-12-25
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +2
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the traditional forecasting methods represented by regression analysis and time forecasting are simple in calculation and easy to implement, they are not capable of processing power load data with nonlinear characteristics and cannot achieve ideal forecasting accuracy.
[0004] In summary, the existing short-term power load forecasting has problems such as insufficient consideration of influencing factors, improper processing of non-stationary data characteristics, and optimization of algorithms.

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
  • Short-term power load prediction method based on data mining
  • Short-term power load prediction method based on data mining
  • Short-term power load prediction method based on data mining

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0026] figure 1 is a block diagram of an example computing device 100 . In a basic configuration 102 , computing device 100 typically includes system memory 106 and one or more processors 104 . A memory bus 108 may be used for communication between the processor 104 and the system memory 106 .

[0027] Depending on the desired configuration, processor 104 may be any type of processor including, but not limited to, a microprocesso...

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 short-term power load prediction method based on data mining, and the method comprises the steps: employing a variational mode decomposition method to decompose an original power load sequence into sub-mode components with different limited bandwidths; determining an input variable corresponding to each sub-modal component; and inputting the input variable into the powerload prediction model to obtain a prediction result of the power load. The invention also discloses a computing device for executing the method.

Description

technical field [0001] The present invention relates to the technical field of energy and electric power, and more specifically, relates to a short-term power load forecasting method based on data mining. Background technique [0002] Short-term power load forecasting is an important guarantee for the power energy management system to rationally arrange production scheduling plans and realize energy saving and economical operation. However, the short-term power load is affected by many factors such as weather, day type (day type includes working day, holiday, etc.), market, etc., which increases the difficulty of accurate power load forecasting. Therefore, improving the accuracy of short-term power load forecasting has become an important research content. [0003] For a long time, scholars at home and abroad have carried out a lot of research on short-term power load forecasting. In terms of influencing factors considered, existing research mainly includes weather factors...

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
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 董厚琦王晟嫣王俐英曹雨微曾鸣姜世公杨卫红吴志力施鹏佳林红阳张林垚
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)