Prediction method for power load under complex characteristic influence, and computer information processing system

A power load and forecasting method technology, applied in the field of forecasting or optimization, can solve the problems of high analysis complexity, low forecast reliability, and strong subjectivity of weight determination methods.

Inactive Publication Date: 2018-08-17
XIDIAN UNIV
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: when there are too many influencing factors and variables in the current power

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
  • Prediction method for power load under complex characteristic influence, and computer information processing system
  • Prediction method for power load under complex characteristic influence, and computer information processing system
  • Prediction method for power load under complex characteristic influence, and computer information processing system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0072] The power load forecasting method influenced by complex characteristics provided by the present invention reduces the complexity of analyzing multiple influencing factors, solves the problem that the information contained in the influencing factors overlaps with each other, has high prediction reliability, and can meet the requirements of power load forecasting under complex characteristic influencing factors. Load forecasting is required to solve the problem of accurate forecasting of power load in the future power grid, and then solve the problem of accurate planning and optimal scheduling in the power system.

[0073...

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 belongs to the technical field of prediction or optimization, and discloses a prediction method for a power load under complex characteristic influence, and a computer information processing system. The method comprises the steps: inputting historical power load characteristics and influence factor data thereof; carrying out the standardization of an original data sequence, so as toeliminate the interference caused by the difference of units; carrying out the PCA (principal component analysis) of the standardized sequence, and obtaining a PCA expression; calculating the scores of all principal components and an integrated score, obtaining a new data sequence, and carrying out the gray scale correlation analysis of the new data sequence; determining the weight value of each correlation coefficient according to a rule that the weight value is larger for a closer correlation coefficient; carrying out the ordering of the obtained weighted correlation degrees, substituting the weighted correlation degrees into a prediction model, and obtaining a power load characteristic prediction value. The method reduces the analysis complexity of a plurality of influence factors, solves a problem that the information in the influence factors are overlapped, is high in prediction reliability, can meet the requirements of the prediction of the power loads under the complex characteristic influence, so as to solve a problem of accurate planning and scheduling optimization in a power grid in future.

Description

technical field [0001] The invention belongs to the technical field of forecasting or optimization, and in particular relates to a power load forecasting method and a computer information processing system influenced by complex characteristics. Background technique [0002] At present, the commonly used existing technologies in the industry are as follows: With the rapid development of my country's economy, the demand for energy continues to increase. As a convenient and important secondary energy source, electric energy plays an extremely important role in all aspects of society. However, the feature that electric energy cannot be stored in large quantities makes it necessary for the power system to maintain a balance between supply and demand at all times, and to provide reliable and standard electric energy to various users as economically as possible to meet their load demands. Therefore, in order to ensure the safe and stable operation of the power system, it is necess...

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
CPCG06Q10/04G06Q50/06Y02E40/70Y04S10/50
Inventor 米建伟范丽彬仇原鹰李素兰刘倩梁园园
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products