Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for describing electricity consumption of social organization by using transformer area data

A social organization, using Taiwan-based technology, applied in data processing applications, market data collection, instruments, etc., can solve problems such as incompleteness, scattered functions, abnormal data detection process and lack of detection efficiency.

Pending Publication Date: 2022-06-03
SHANGHAI MUNICIPAL ELECTRIC POWER CO
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing power grid analysis and prediction methods are mainly aimed at urban power grids, and the accuracy of different types of rural power energy consumption needs to be improved, and the functions of the existing power consumption abnormal data detection system are relatively scattered and incomplete, and the data processing is not enough Sophisticated, unable to form an overall system structure, lacking in abnormal data detection process and detection efficiency

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031]Embodiment 1: Collect power load forecast data, refine the granularity of the collected power load forecast data, obtain power load forecast meta-variables, perform factor analysis on the obtained power load forecast meta-variables, and obtain village development characteristics; an embodiment of the present invention By collecting the power load forecast data used to characterize the power load in each village, such as the total population, precipitation, rural irrigation and drainage area, temperature, electricity price, the collected power load forecast data is refined, and the power load forecast element is obtained. variable. Among them, the power load forecasting element variable is used to describe or accurately describe the power load, and it is the basic or underlying variable that characterizes or reflects the change of the power load.

Embodiment 2

[0032] Example 2: The power load prediction meta-variables of the village-level power grid include 20 kinds of parameters, corresponding to the meta-variables V1-V20 in Table 1. Among them, the household registration population, household registration population change rate, permanent resident population, permanent resident population obtained through granularity refinement The rate of change and the permanent population / registered population can describe the overall size and flow of the village population, and indirectly reflect the impact of out-migration and urbanization on the population of the village; the proportion of the young population and the proportion of the elderly population can reflect the population structure of the village, the village The balance of development and the potential for electricity consumption, through the analysis of the proportion of the young population and the proportion of the elderly population, can reflect the hollowing trend of villages, a...

Embodiment 3

[0033] Embodiment 3: The obtained K models are adjusted for K times of parameters, and then the corresponding first test data is used to carry out K tests, and the test results are evaluated. If the obtained models meet the requirements, the obtained The model is the first model obtained according to the first data. Otherwise, continue to repeat the above steps until the first model that meets the requirements is established. Generally speaking, errors are unavoidable. For different types of problems, it is necessary to count the corresponding errors. For example, for classification problems, you need to count the number of classification errors, and for regression problems, you need to count the mean squared error.

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 method for describing electric power consumption of a social organization by using transformer area data. The method specifically comprises the following steps: step 1, carrying out statistics on electric power consumption users; step 2, village type determination; step 3, model training generation; step 4, performing discretization treatment; and step 5, training, correction and prediction processing analysis. According to the invention, power grid load power consumption prediction with high accuracy and fine data can be realized.

Description

technical field [0001] The present invention relates to a method for depicting the power consumption of social organizations by using station area data in the technical field of power consumption. Background technique [0002] At present, the development of power grids is transforming to high-quality, and lean management of power grids is an objective need for building high-quality power grids. It is an important measure to realize the transformation and upgrading of rural power grids. [0003] With the advancement of the new urbanization process, the rural population structure, flow direction, and village-level planning are undergoing significant changes. At the same time, due to differences in development orientation, the rural planting structure and irrigation patterns are constantly being adjusted. Electricity loads have different degrees of impact. The existing power grid analysis and prediction methods are mainly aimed at urban power grids, and the accuracy of differ...

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): G06Q30/02G06Q50/06
CPCG06Q30/0201G06Q30/0203G06Q50/06Y04S10/50
Inventor 李越周樑
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com