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

Auto recommending method of urban power load forecasting module based on associative rules

A prediction model and power load technology, which is applied in the field of automatic recommendation of urban power load prediction models based on association rules, can solve the problems of urban power load calculation, models cannot be considered, etc., and achieve credible prediction results, strong credibility, guidance The effect of urban power grid planning

Inactive Publication Date: 2009-10-14
TIANJIN UNIV
View PDF0 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Considering that there are many types of existing load forecasting models, and they all have their own applicable conditions, for example, some models cannot consider the factors related to urban power load for calculation, and some models are not suitable for calculation when the urban load is saturated.

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
  • Auto recommending method of urban power load forecasting module based on associative rules
  • Auto recommending method of urban power load forecasting module based on associative rules
  • Auto recommending method of urban power load forecasting module based on associative rules

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The automatic recommendation method of the present invention will be described in detail below.

[0021] 1. Construction of historical case database

[0022] To recommend a suitable model, a historical database must first be established. The original data provided for the present invention come from the planning-related data of a large number of cities in China, mainly including: historical load data of previously predicted regions, data of related factors, such as the proportion of the secondary industry, city type , urban administrative functions, urban population development, urban load development status, forecast time limit, urban GDP development level, etc. In order to obtain accurate and reasonable conclusions, the applicability of the model is also analyzed as a continuous quantity. Here, the applicability of the model is set as a value between 0 and 1, where 0 is the lowest level of applicability, indicating that the model is not applicable ; 1 is the highest ...

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 load forecasting field of a power distribution system, relating to an auto recommending method of urban power load forecasting module based on associative rules. The method comprises the steps of: establishing a historical data base; carrying out data analysis and generalization; mining the associative rules; matching the rules; and obtaining model recommending conclusion by circulating the steps. The method not only can forecast the using condition of a model in an area to be measured, but also can conclude application rules of some models; by utilizing an inference method based on cases, the efficiency of model recommending is improved; and simultaneously the load forecasting efficiency is improved by combining certain expertise.

Description

technical field [0001] The invention belongs to the fields of medium and long-term load forecasting in power distribution system planning and short-term load forecasting in power distribution system operation, and relates to an automatic recommendation method for urban power load forecasting models. Background technique [0002] In urban power grid planning, the analysis and prediction of load and its development trend is a basic work, which determines the future city's demand for electricity and the power supply capacity of the future urban power grid, and plays an important role in the determination of urban power supply points and power generation planning. The guiding significance of , its accuracy directly affects the quality of power grid planning. Load forecasting has strong predictive characteristics and is affected by many factors, such as urban characteristics (such as urban centrality, urban functions, urban climate types, urban economic development levels, and ur...

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): G05B19/04G06N7/00G06Q50/00G06F17/00G06Q50/06
Inventor 肖峻耿芳葛少云罗凤章王笑一
Owner TIANJIN UNIV
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com