Robust Parameter Estimation of Aggregate Thermal Dynamic Model: A Privacy-Preserved Approach

Zeyin Hou; Shuai Lu; Zhi Wu; Wei Gu; Hao Zhang; Yijun Xu; Zihang Gao

doi:10.17775/CSEEJPES.2024.02380

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Robust Parameter Estimation of Aggregate Thermal Dynamic Model: A Privacy-Preserved Approach

Regular Papers | 更新时间：2026-06-12

- Robust Parameter Estimation of Aggregate Thermal Dynamic Model: A Privacy-Preserved Approach
- Robust Parameter Estimation of Aggregate Thermal Dynamic Model: A Privacy-Preserved Approach
- 中国电机工程学会电力与能源系统学报(英文) 2026年12卷第3期页码：1650-1655
- 作者机构：
  
  1. Electrical Engineering Department, Southeast University,Jiangsu,Nanjing,China
  2. Electric Power Research Institute, Yunnan Power Grid Company Ltd.,Kunming,China
  3. School of Software, Southeast University,Jiangsu,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2024.02380
  中图分类号：
- 纸质出版：2026
- 稿件说明：
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Zeyin Hou, Shuai Lu, Zhi Wu, 等. Robust Parameter Estimation of Aggregate Thermal Dynamic Model: A Privacy-Preserved Approach[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(3):1650-1655.

Zeyin Hou, Shuai Lu, Zhi Wu, et al. Robust Parameter Estimation of Aggregate Thermal Dynamic Model: A Privacy-Preserved Approach[J]. CSEE Journal of Power and Energy Systems, 2026, 12(3): 1650-1655.
Zeyin Hou, Shuai Lu, Zhi Wu, 等. Robust Parameter Estimation of Aggregate Thermal Dynamic Model: A Privacy-Preserved Approach[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(3):1650-1655. DOI： 10.17775/CSEEJPES.2024.02380.

Zeyin Hou, Shuai Lu, Zhi Wu, et al. Robust Parameter Estimation of Aggregate Thermal Dynamic Model: A Privacy-Preserved Approach[J]. CSEE Journal of Power and Energy Systems, 2026, 12(3): 1650-1655. DOI： 10.17775/CSEEJPES.2024.02380.

摘要

Abstract

An aggregate model that accurately quantifies buildings' thermal flexibility is an essential interface for energy system operation. However

privacy concerns and measurement inaccuracies make obtaining an accurate aggregate model challenging. To address this

we propose a privacy-preserved robust parameter estimation approach to get the aggregate model of buildings. The proposed method ensures the accurate modeling of the aggregate thermal dynamics of buildings against outliers in measurements

without exposing any sensitive information from end users. The effectiveness of the proposed method is validated through numerical tests.

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references

19. I. F. Blake and C. Studholme. ( 2006, Dec. ). Properties of random matrices and applications . [Online ] . Available: https://www.cs.toronto.edu/~cvs/coding/randomreport.pdf.

21. Z. Hou. ( 2024 ). Supplementary mateiralr . [Online ] . Available: https://github.com/Shuai-Lu/ZeyinHou--Robust-Parameter-Estimation-of-Aggregate-Thermal-Dynamic-Model.

22. S. Firth, T. Kane, V. Dimitriou, T. Hassan, F. Fouchal, M. Coleman, and L. Webb. ( 2017, Jun. ). REFIT Smart Home dataset . [Online ] . Available: https://repository.lboro.ac.uk/articles/dataset/REFIT_Smart_Home_dataset/2070091.

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