Data-driven adaptive building thermal controller tuning with constraints: A primal–dual contextual Bayesian optimization approach-Reference-Cited by-同舟云学术

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Data-driven adaptive building thermal controller tuning with constraints: A primal–dual contextual Bayesian optimization approach

Published:2024-03 Issue: Volume:358 Page:122493
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Xu Wenjie^ORCID,Svetozarevic Bratislav^ORCID,Di Natale Loris,Heer Philipp^ORCID,Jones Colin N.

Publisher

Elsevier BV

Reference50 articles.

1. Intelligent systems for building energy and occupant comfort optimization: A state of the art review and recommendations;Boodi;Energies,2018

2. Use of model predictive control and weather forecasts for energy efficient building climate control;Oldewurtel;Energy Build,2012

3. Building thermal modeling and model predictive control with physically consistent deep learning for decarbonization and energy optimization;Xiao;Appl Energy,2023

4. Energy saving and indoor temperature control for an office building using tube-based robust model predictive control;Gao;Appl Energy,2023

5. Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: Simulations and experiments;Svetozarevic;Appl Energy,2022

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1. Benchmarking building energy consumption for space heating using an empirical Bayesian approach with urban-scale energy model;Energy and Buildings;2024-10

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