Power data preprocessing method based on mathematical statistics

A technology of power data and mathematical statistics, applied in data processing applications, calculations, instruments, etc., can solve the problems of mixing, data extraction and analysis work interference, and the total amount of data cannot be ignored, so as to reduce time waste, reduce interference, The effect of improving efficiency

Active Publication Date: 2018-11-16
SHANGHAI MUNICIPAL ELECTRIC POWER CO
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to factors such as signal interference, some polluted "dirty data" is inevitably mixed into the currently running collection system. Due to the huge amount of data collected in the power system, the total amount of

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
  • Power data preprocessing method based on mathematical statistics
  • Power data preprocessing method based on mathematical statistics
  • Power data preprocessing method based on mathematical statistics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to enable those skilled in the art to better understand the technical solution of the present invention, its specific implementation will be described in detail below in conjunction with the accompanying drawings:

[0025] see Figure 1 to Figure 4 , the preferred embodiment of the present invention, a kind of electric power data preprocessing method based on mathematical statistics, comprises the following steps:

[0026] S1, the original data set input step, input the original data set containing the user power data;

[0027] S2, the step of extracting data, extracting the required table items and data fields from the original data set, processing them into required structured data, and generating a two-dimensional power consumption matrix;

[0028] S3, negative value and null value screening step, through mathematical logic to filter out negative values, null values ​​and some unreasonable data table items in the data set;

[0029] S4, the abnormal large v...

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 power data preprocessing method based on mathematical statistics. The power data preprocessing method comprises an original data set input step, a data extraction step, a negative value and null value screening step, an abnormal large value screening step, a data preliminary pre-classification step and a tag adding step. The power data preprocessing method based on mathematical statistics combines quartile detection in mathematical statistics with a standard score detection method, can help the staff of a power grid to improve the efficiency of examining original abnormal data, and optimizes the data quality of an original data set.

Description

technical field [0001] The invention relates to a method for preprocessing power data based on mathematical statistics, and belongs to the technical field of smart grids. Background technique [0002] Due to the large number of user groups, the differences in the collection environment of smart meters, and various uncontrollable factors such as equipment terminal failures and data transmission interference, in the actual operation process, the power data collected by the power grid collection system is very complicated. The abnormal data in the data set has negative value, missing value (None value), abnormal zero value, abnormal large value, wrong relationship data, redundant data and so on. In the existing data analysis and decision-making work, many models and conclusions are based on idealized data sets, and various abnormal data in the actual collected data sets will interfere with or even destructively mislead these follow-up work. [0003] With the comprehensive pro...

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): G06Q10/06G06Q50/06
CPCG06Q10/06395G06Q50/06
Inventor 陈明曹袖毛迪林毛苇严童周清华唐啸宣庐峰熊博越徐伟侯昀黄增瑞
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap