A method and apparatus for power system thermal load forecasting

A power system and heat load technology, applied in the field of data analysis, can solve problems such as single, factors that do not take into account the factors that affect load changes, and affect the accuracy of heat load forecasting, so as to achieve the effect of improving the accuracy of forecasting and accurate forecasting

Inactive Publication Date: 2019-01-15
ENNEW DIGITAL TECH CO LTD
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing power system thermal load forecasting is based on a single weather factor to select similar trend algorithms without t...

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 method and apparatus for power system thermal load forecasting
  • A method and apparatus for power system thermal load forecasting
  • A method and apparatus for power system thermal load forecasting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the protection of the present invention. range.

[0042] Such as figure 1 As shown, the embodiment of the present invention provides a method for predicting the thermal load of a power system, and the method may include the following steps:

[0043] S1: Preprocess the historical daily data of the thermal load of the power system;

[0044] S2: Obtain the data daily baseline based on the hist...

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 and a device for forecasting the heat load of a power system. The method comprises the following steps: S1, preprocessing the historical data of the heat load of the power system; S2, obtaining a data day reference line according to the historical daily data after the preprocessing; S3, dividing the obtained data daily reference line into a plurality of time periods; S4: screening the historical day data, and calculating the trend similarity value of the selected historical day data and the data day datum line in each divided time period; 5, selecting the historical day data corresponding to the trend similarity value great than the preset reference value to form a similarity sequence matrix; S6: the similarity sequence matrix is inputted into the constructed limit learning machine ELM for training, and the prediction model is obtained, and the power system heat load prediction is carried out. The invention adopts the time sequence representation methodbased on trend segmentation, effectively retains the important change trend information in the time series of the heat load, and can more accurately predict the change trend of the heat load.

Description

Technical field [0001] The present invention relates to the technical field of data analysis, in particular to a method and device for predicting the thermal load of a power system. Background technique [0002] Time series are widely used in people's daily life and industrial production, such as real-time transaction data of funds or stocks, daily sales data of retail markets, sensor monitoring data of process industries, astronomical observation data, aerospace radar, satellite monitoring data, real-time Weather temperature and air quality index, etc. The industry has so far proposed many time series analysis methods, including similarity query methods, classification methods, clustering methods, prediction methods, and anomaly detection methods. Among them, many methods need to judge the similarity of time series. Therefore, time series similarity measurement methods have a wide range of application requirements in the industry. [0003] However, the existing power system ther...

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): G06Q50/06G06Q10/04
CPCG06Q10/04G06Q50/06H02J3/003H02J2203/20Y04S10/50Y04S40/20Y02E60/00G06N20/00G06N3/08
Inventor 黄信刘胜伟
Owner ENNEW DIGITAL TECH CO LTD
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