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[HTML][HTML] Energy, thermal comfort, and indoor air quality: Multi-objective optimization review
The reliance on optimization techniques for robust assessments of environmental and
energy-saving solutions has been largely driven by the increasing need to comply with …
energy-saving solutions has been largely driven by the increasing need to comply with …
[HTML][HTML] A comprehensive review of the applications of machine learning for HVAC
Heating, ventilation and air-conditioning (HVAC) accounts for around 40% of the total
building energy consumption. It has therefore become a major target for reductions, in terms …
building energy consumption. It has therefore become a major target for reductions, in terms …
Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation
There have been increasing concerns over the air quality inside buildings as high levels of
bio-effluents can cause nausea, dizziness, headaches, and fatigue to the people working in …
bio-effluents can cause nausea, dizziness, headaches, and fatigue to the people working in …
Achieving better indoor air quality with IoT systems for future buildings: Opportunities and challenges
With the development of IoT technology and low-cost indoor air quality (IAQ) sensors, the IoT-
based IAQ monitoring platform has garnered significant research interest and demonstrated …
based IAQ monitoring platform has garnered significant research interest and demonstrated …
[HTML][HTML] A multivariate time series graph neural network for district heat load forecasting
Heat load prediction is essential for energy efficiency and carbon reduction in district heating
systems. However, heat load is influenced by many factors, such as building characteristics …
systems. However, heat load is influenced by many factors, such as building characteristics …
How to measure and control indoor air quality based on intelligent digital twin platforms: A case study in China
In order to address the current disparity between indoor air quality assessment, prediction,
and control, this study proposes an intelligent management approach for indoor air quality …
and control, this study proposes an intelligent management approach for indoor air quality …
Graph neural network-based spatio-temporal indoor environment prediction and optimal control for central air-conditioning systems
Abstract Model-based optimal control has proven its effectiveness in optimizing the
performance of central air-conditioning systems in terms of thermal comfort and energy …
performance of central air-conditioning systems in terms of thermal comfort and energy …
RETRACTED ARTICLE: Solar energy optimization in solar-HVAC using Sutterby hybrid nanofluid with Smoluchowski temperature conditions: a solar thermal …
In solar heating, ventilation, and air conditioning (HVAC), communications are designed to
create new 3D mathematical models that address the flow of rotating Sutterby hybrid …
create new 3D mathematical models that address the flow of rotating Sutterby hybrid …
Real-time model predictive cooling control for an HVAC system in a factory building
SJ Ra, JH Kim, CS Park - Energy and Buildings, 2023 - Elsevier
This paper presents the results of model predictive control (MPC) using multiple deep neural
network (DNN) models for the cooling system of a factory building. The target building …
network (DNN) models for the cooling system of a factory building. The target building …
Enhancing digital twin efficiency in indoor environments: Virtual sensor-driven optimization of physical sensor combinations
Multiple sensor nodes are preferred for the development of digital twins in indoor
environments; however, it poses significant financial burdens. Therefore, considering both …
environments; however, it poses significant financial burdens. Therefore, considering both …