AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
A novel deep learning model integrating CNN and GRU to predict particulate matter concentrations
Z Guo, C Yang, D Wang, H Liu - Process Safety and Environmental …, 2023 - Elsevier
PM 2.5 is a significant environmental pollutant that damages the environment and
endangers human health. Precise forecast of PM 2.5 concentrations is very important to …
endangers human health. Precise forecast of PM 2.5 concentrations is very important to …
LSTM-autoencoder-based anomaly detection for indoor air quality time-series data
Anomaly detection for indoor air quality (IAQ) data has become an important area of
research as the quality of air is closely related to human health and well-being. However …
research as the quality of air is closely related to human health and well-being. However …
A Review of Artificial Neural Network Models Applied to Predict Indoor Air Quality in Schools
Background: Indoor air quality (IAQ) in schools can affect the performance and health of
occupants, especially young children. Increased public attention on IAQ during the COVID …
occupants, especially young children. Increased public attention on IAQ during the COVID …
[HTML][HTML] Use of optimised MLP neural networks for spatiotemporal estimation of indoor environmental conditions of existing buildings
M Martínez-Comesaña, A Ogando-Martínez… - Building and …, 2021 - Elsevier
Controlling the indoor environmental quality in real time is essential for the health, well-
being and productivity of occupants of a building. In recent years, research has focused on …
being and productivity of occupants of a building. In recent years, research has focused on …
BIM and data-driven predictive analysis of optimum thermal comfort for indoor environment
Mechanical ventilation comprises a significant proportion of the total energy consumed in
buildings. Sufficient natural ventilation in buildings is critical in reducing the energy …
buildings. Sufficient natural ventilation in buildings is critical in reducing the energy …
[HTML][HTML] Optimisation of thermal comfort and indoor air quality estimations applied to in-use buildings combining NSGA-III and XGBoost
M Martínez-Comesaña, P Eguia-Oller… - Sustainable Cities and …, 2022 - Elsevier
Indoor environmental quality (IEQ) monitoring of in-use buildings has become essential in
recent years due to the COVID-19 pandemic, as it significantly affects the well-being, health …
recent years due to the COVID-19 pandemic, as it significantly affects the well-being, health …
Predicting the concentrations of VOCs in a controlled chamber and an occupied classroom via a deep learning approach
R Zhang, Y Tan, Y Wang, H Wang, M Zhang, J Liu… - Building and …, 2022 - Elsevier
The ability to predict indoor pollutant concentrations is an indispensable function for smart
homes. In this study, we present a Long Short-Term Memory network (LSTM) model in the …
homes. In this study, we present a Long Short-Term Memory network (LSTM) model in the …
Viral infection transmission and indoor air quality: A systematic review
Respiratory disease transmission in indoor environments presents persistent challenges for
health authorities, as exemplified by the recent COVID-19 pandemic. This underscores the …
health authorities, as exemplified by the recent COVID-19 pandemic. This underscores the …
Optimized machine learning model for air quality index prediction in major cities in India
SK Natarajan, P Shanmurthy, D Arockiam… - Scientific Reports, 2024 - nature.com
Industrial advancements and utilization of large amount of fossil fuels, vehicle pollution, and
other calamities increases the Air Quality Index (AQI) of major cities in a drastic manner …
other calamities increases the Air Quality Index (AQI) of major cities in a drastic manner …