A power load splitting method for dividing seasonal attributes

A technology of power load and attributes, applied to load forecasting, electrical components, circuit devices, etc. in the AC network, can solve the problems of prediction accuracy and generalization influence, and can not be obtained, so as to achieve reasonable and clear division and accurate benchmark , the effect of accurately predicting the outcome

Active Publication Date: 2019-04-23
SHANGHAI ELECTRICAL APPLIANCES RES INSTGROUP +1
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Therefore, if the factors affecting the load cannot be fully considered and the load can be split reasonably, the accuracy and generalization of the forecast will be affected, so that a comparative Accurate Forecast Results

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
  • A power load splitting method for dividing seasonal attributes
  • A power load splitting method for dividing seasonal attributes
  • A power load splitting method for dividing seasonal attributes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0033] Taking Shanghai as an example, the confirmed heating season is January, the confirmed cooling season is July, and the transition season will appear in April and October. Therefore, the seasonal attribute value of January is assigned a value of 1, and the seasonal attribute value of July is assigned a value of -1. According to the thermal comfort index of the human body, the human body feels more comfortable when the ...

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 relates to a power load splitting method for dividing seasonal attributes. The method is characterized in that on the basis of seasonal division of meteorological data, a set of visual seasonal attribute judgment rule is determined to redivide a heating season, a transition season and a refrigeration season, and the influence of meteorological parameters on loads, including temperature, relative humidity, wind speed and air enthalpy values, is comprehensively considered. The method provided by the invention has the advantages and positive effects that the cage division of seasonal attributes by a traditional degree-of-day method is avoided, and a weighted seasonal attribute method is adopted, so that the division of heat supply, refrigeration and transition seasons is more reasonable and clear, and the reference of load splitting is more accurate; the load is divided into the basic load based on the average of the transition season and the meteorological sensitive load generated by heat supply or refrigeration, and then the basic load and the meteorological sensitive load are processed and predicted respectively, so that the relationship of different characteristics of the load is highlighted, the rule is easily found from the complex load curve containing components, and a more accurate prediction result is obtained.

Description

technical field [0001] The invention relates to an electric load splitting method for dividing seasonal attributes. The research object is the electric load of buildings. The electric load after splitting has obvious characteristics, which can improve the prediction accuracy of the building load. Background technique [0002] With the development of intelligent algorithms and machine learning, accurate prediction of urban power load based on effective algorithms is of great significance for guiding urban load power management and energy-saving strategies. Different user types have different power consumption characteristics. For example, the relatively intensive power load of office buildings occurs from 7:00 to 18:00 on weekdays, and the energy consumption of commercial buildings is mainly concentrated from 8:00 to 21:00 every day. The electricity consumption of the secondary industry presents different characteristics of electricity consumption according to different proce...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06H02J3/00
CPCH02J3/00G06Q10/06375G06Q50/06H02J3/003
Inventor 胡桐月奚培锋张少迪方文鞠晨
Owner SHANGHAI ELECTRICAL APPLIANCES RES INSTGROUP
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