A novel model ensemble method based on self-adaptive weight for building energy transfer learning-Reference-Cited by-同舟云学术

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A novel model ensemble method based on self-adaptive weight for building energy transfer learning

Published:2025-09 Issue: Volume:109 Page:113024
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Yan Ruofei,Chen Zhen,Zhang Xingxing^ORCID,Zhao Tianyi,Rezgui Yacine,Li Yu^ORCID

Publisher

Elsevier BV

Reference51 articles.

1. Performance assessment of cross office building energy prediction in the same region using the domain adversarial transfer learning strategy;Li;Appl. Therm. Eng.,2024

2. Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — a systematic review;Khalil;Eng. Appl. Artif. Intell.,2022

3. Building energy prediction using artificial neural networks: a literature survey;Lu;Energy Build.,2022

4. Peak load shifting control using different cold thermal energy storage facilities in commercial buildings: a review;Sun;Energy Convers. Manag.,2013

5. Model-based predictive control optimization of chiller plants with water-side economizer system;Fan;Energy Build.,2023

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