Development of a prediction model tuning method with a dual-structured optimization framework for an entire heating, ventilation and air-conditioning system-Reference-Cited by-同舟云学术

Development of a prediction model tuning method with a dual-structured optimization framework for an entire heating, ventilation and air-conditioning system

Published:2022-04 Issue: Volume:79 Page:103667
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Matsuda Yuki,Ooka Ryozo

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference37 articles.

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1. Clustering and prediction of space cooling and heating energy consumption in high-rise residential buildings with the influence of occupant behaviour: Evidence from a survey in Changsha, China;Journal of Building Engineering;2023-10

2. Energy saving and indoor temperature control for an office building using tube-based robust model predictive control;Applied Energy;2023-07

3. Digital twin technology for thermal comfort and energy efficiency in buildings: A state-of-the-art and future directions;Energy and Built Environment;2023-05

4. Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review;Journal of Building Engineering;2022-11

5. A Learning Factory Framework: Challenges and Solutions for an Irish University*;IFAC-PapersOnLine;2022