The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 09, 2022

Filed:

Feb. 25, 2019
Applicant:

Hefei University of Technology, Anhui, CN;

Inventors:

Kaile Zhou, Anhui, CN;

Zhifeng Guo, Anhui, CN;

Shanlin Yang, Anhui, CN;

Pengtao Li, Anhui, CN;

Lulu Wen, Anhui, CN;

Xinhui Lu, Anhui, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 1/28 (2006.01); G06N 20/00 (2019.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06F 1/28 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01);
Abstract

The disclosure provides a method, a system and a storage medium for predicting power load probability density based on deep learning. The method comprises: S, collecting power load data of a user, meteorological data and air quality data in a preset historical time period, and dividing the collected data into a training set and a test set; S, determining a deep learning model for predicting power load; S, inputting the test set into the deep learning model for predicting power load, and obtaining power load prediction data of the user at different quantile points in a third time interval; S, performing kernel density estimation and obtaining a probability density curve of the power load of the user in the third time interval.


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