Scheduling method based on off-line dynamic scheduling model with minimal error rate

A technology of dynamic scheduling and error rate, applied in instruments, data processing applications, forecasting, etc., can solve problems such as inaccurate prediction of power consumption, and achieve the effect of accurate power consumption and prediction

Inactive Publication Date: 2015-11-18
NINGBO WEIJI ELECTRIC POWER TECH
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For a household appliance, the energy consumption under different loads can be very different, and the prediction of power consumption is not accurate

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
  • Scheduling method based on off-line dynamic scheduling model with minimal error rate
  • Scheduling method based on off-line dynamic scheduling model with minimal error rate
  • Scheduling method based on off-line dynamic scheduling model with minimal error rate

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The dynamic scheduling method based on the minimization of the error rate provided by the embodiment of the present invention will be described in detail below with reference to the accompanying drawings.

[0019] figure 1 It is a flowchart of a dynamic scheduling method based on error rate minimization provided by an embodiment of the present invention.

[0020] refer to figure 1 , in step S101, construct an offline dynamic scheduling model that minimizes the error rate by scheduling household appliances.

[0021] In step S102, the power consumption is determined according to the offline dynamic scheduling model for minimizing the error rate.

[0022] Further, the construction of an offline dynamic scheduling model that minimizes the error rate by scheduling household appliances includes:

[0023] According to the variable, the electric energy consumption of the household appliance corresponding to the variable in the time period is obtained;

[0024] Generate a Mo...

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 provides a scheduling method based on an off-line dynamic scheduling model with a minimal error rate. The scheduling method includes building the off-line dynamic scheduling model with the minimal error rate by scheduling household electrical appliances, and determining power consumption according to the off-line dynamic scheduling model with the minimal error rate. The power consumption can accurately predicted.

Description

technical field [0001] The invention relates to smart home appliance technology, in particular to a scheduling method based on an offline dynamic scheduling model that minimizes error rates. Background technique [0002] In a smart home, all electrical appliances are connected to a central controller. Household appliances in smart homes generally have multiple power options. The central controller selects the power of each household appliance in each period according to the usage of various resources. Generally, the resources available in a smart home include solar energy, energy stored in batteries, and electricity from the grid. The central controller comprehensively considers the storage and cost factors of centralized energy to provide the most cost-effective power consumption strategy. [0003] In modern smart grids, time-varying electricity pricing is a widely used energy pricing strategy. According to the user's electricity consumption, the power company sets diff...

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
Inventor 吴伟宗胡师彦
Owner NINGBO WEIJI ELECTRIC POWER TECH
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