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An improved sensor fault in-situ calibration strategy for building HVAC systems with forgetting-adaptive mechanism based on data incremental learning

Guannan Li Wei Kuang Wei Li Sungmin Yoon Kun Li Dongyue Wang Chuanmin Dai

建筑模拟（英文版）2025，Vol.18Issue(9)：2345-2364,20.

建筑模拟（英文版）2025，Vol.18Issue(9)：2345-2364,20.DOI:10.1007/s12273-025-1327-6

An improved sensor fault in-situ calibration strategy for building HVAC systems with forgetting-adaptive mechanism based on data incremental learning

Guannan Li ¹Wei Kuang ¹Wei Li ²Sungmin Yoon ³Kun Li ²Dongyue Wang ⁴Chuanmin Dai⁴

作者信息

1. School of Urban Construction,Wuhan University of Science and Technology,Wuhan 430065,China
2. Qingdao Haier Air Conditioner General Corp.,LTD.,Qingdao 266101,China
3. Department of Global Smart City,Sungkyunkwan University,Suwon 16419,Republic of Korea||School of Civil,Architectural Engineering and Landscape Architecture,Sungkyunkwan University,Suwon 16419,Republic of Korea
4. Qingdao Haier Smart Technology R&D CO.,LTD.,Qingdao 266101,China
折叠

摘要

关键词

HVAC/in-situ sensor calibration/Bayesian inference(BI)/forgetting mechanism/data incremental learning(DIL)

Key words

HVAC/in-situ sensor calibration/Bayesian inference(BI)/forgetting mechanism/data incremental learning(DIL)

引用本文复制引用

Guannan Li,Wei Kuang,Wei Li,Sungmin Yoon,Kun Li,Dongyue Wang,Chuanmin Dai..An improved sensor fault in-situ calibration strategy for building HVAC systems with forgetting-adaptive mechanism based on data incremental learning[J].建筑模拟（英文版）,2025,18(9):2345-2364,20.

基金项目

This work was supported by the National Natural Science Foundation of China(51906181),"The 14th Five Year Plan"Hubei Provincial advantaged characteristic disciplines(groups)project of Wuhan University of Science and Technology(2023D0504). （51906181）

建筑模拟（英文版）

ISSN：1996-3599

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