TRANSFER LEARNING-BASED COOLING, HEATING AND ELECTRICAL LOAD FORECASTING METHOD AND SYSTEM FOR BUILDINGS

Title:

TRANSFER LEARNING-BASED COOLING, HEATING AND ELECTRICAL LOAD FORECASTING METHOD AND SYSTEM FOR BUILDINGS

Document Type and Number:

WIPO Patent Application WO/2024/078530

Kind Code:

A1

Abstract:

The present invention relates to the technical field of electrical load forecasting in buildings. Disclosed are a transfer learning-based cooling, heating and electrical load forecasting method and system for buildings. The method comprises: acquiring actual and simulated cooling, heating and electrical load data of a plurality of source domain buildings and simulated cooling, heating and electrical load data of a target domain building; calculating time sequence errors of the cooling, heating and electrical load data of the plurality of source domain buildings; calculating correlation between the target domain building and the plurality of source domain buildings by using Spearman's rank correlation coefficients, and calculating weight errors according to the correlation; transferring the weight errors to the simulated cooling, heating and electrical load data of the target domain building, and taking the simulated cooling, heating and electrical load data as historical cooling, heating and electrical load data of the target domain building; constructing and training a forecasting model, and forecasting cooling, heating and electrical load data of the target domain building by means of the trained forecasting model. The present invention solves the problem that a new building appears in a certain area and the loads of the new building cannot be accurately forecast due to lack of historical cooling, heating and electrical data, and improves the accuracy of cooling, heating and electrical load forecasting in buildings.

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Inventors:

YAN YI (CN)
TIAN CHONGYI (CN)
LI CHENGDONG (CN)
WANG RUIQI (CN)
TIAN CHENLU (CN)
SHAO ZHULIANG (CN)
WANG FAN (CN)
LI JI (CN)
QIAO BIAO (CN)
XUE HUIYU (CN)
CAO YUKANG (CN)

Application Number:

PCT/CN2023/124004

Publication Date:

April 18, 2024

Filing Date:

October 11, 2023

Export Citation:

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Assignee:

SHANDONG JIANZHU UNIV (CN)

International Classes:

G06Q10/04; G06F30/27; G06Q50/06

Attorney, Agent or Firm:

BEIJING FINELAND IP FIRM (CN)

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