[HTML][HTML] Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review
Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …
(HVAC) systems can lead to improvements in both energy efficiency and thermal …
Artificial neural networks applications in construction and building engineering (1991–2021): science map** and visualization
Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …
community to handle complex problems in Construction and Building engineering (CB). This …
Occupant-density-detection based energy efficient ventilation system: Prevention of infection transmission
Ventilation plays an important role in prevention and control of COVID-19 in enclosed indoor
environment and specially in high-occupant-density indoor environments (eg, underground …
environment and specially in high-occupant-density indoor environments (eg, underground …
Fault detection diagnostic for HVAC systems via deep learning algorithms
Because of high detection accuracy, deep learning algorithms have recently become the
focus of increased attention for fault detection diagnostic (FDD) analysis of heat, ventilation …
focus of increased attention for fault detection diagnostic (FDD) analysis of heat, ventilation …
Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network
Optimal control of heating, ventilation and air conditioning systems (HVACs) aims to
minimize the energy consumption of equipment while maintaining the thermal comfort of …
minimize the energy consumption of equipment while maintaining the thermal comfort of …
[HTML][HTML] The application of machine learning to air pollution research: A bibliometric analysis
Abstract Machine learning (ML) is an advanced computer algorithm that simulates the
human learning process to solve problems. With an explosion of monitoring data and the …
human learning process to solve problems. With an explosion of monitoring data and the …
Using long short-term memory networks to predict energy consumption of air-conditioning systems
C Zhou, Z Fang, X Xu, X Zhang, Y Ding… - Sustainable Cities and …, 2020 - Elsevier
The prediction of energy consumption is important for the efficient operation of building air-
conditioning systems. Most predicted models are based on historical energy consumption …
conditioning systems. Most predicted models are based on historical energy consumption …
Implementation and visualization of artificial intelligent ventilation control system using fast prediction models and limited monitoring data
Coupling modelling and monitoring has always been a very challenging task aiming for
indoor air pollution control towards the construction of safe, healthy and energy-efficient …
indoor air pollution control towards the construction of safe, healthy and energy-efficient …
A coupled computational fluid dynamics and back-propagation neural network-based particle swarm optimizer algorithm for predicting and optimizing indoor air …
In the modern era, people spend approximately 90% of their time in indoor settings, such as
offices and residential buildings. As prolonged exposure to indoor environments can …
offices and residential buildings. As prolonged exposure to indoor environments can …
Sustainable design of courtyard environment: From the perspectives of airborne diseases control and human health
J Leng, Q Wang, K Liu - Sustainable Cities and Society, 2020 - Elsevier
Courtyards have functioned as an effective passive architectural design strategy for various
climate conditions, especially popular in hot-humid climates. Sustainable and delicate …
climate conditions, especially popular in hot-humid climates. Sustainable and delicate …