Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality
The indoor environment directly affects health and comfort as humans spend most of the day
indoors. However, improperly controlled ventilation systems can expend unnecessary …
indoors. However, improperly controlled ventilation systems can expend unnecessary …
The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: Energy implications of AI-based thermal comfort controls
Buildings consume about 40% of globally-produced energy. A notable amount of this energy
is used to provide sufficient comfort levels to the building occupants. Moreover, given recent …
is used to provide sufficient comfort levels to the building occupants. Moreover, given recent …
A review of thermal comfort models and indicators for indoor environments
D Enescu - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
This paper reviews the most used thermal comfort models and indicators with their variants,
discussing their usage in control problems referring to energy management in indoor …
discussing their usage in control problems referring to energy management in indoor …
Application of artificial neural network for predicting hourly indoor air temperature and relative humidity in modern building in humid region
L Mba, P Meukam, A Kemajou - Energy and Buildings, 2016 - Elsevier
The prediction of the air temperature (IT) and relative humidity (IH) in a building can help to
reduce energy consumption for air conditioning. The purpose of this work was to apply the …
reduce energy consumption for air conditioning. The purpose of this work was to apply the …
Improving prediction performance for indoor temperature in public buildings based on a novel deep learning method
C Xu, H Chen, J Wang, Y Guo, Y Yuan - Building and Environment, 2019 - Elsevier
This study presents a case study of public buildings using a novel deep learning method to
forecast indoor air temperature. The aim is to explore the potential of long short-term …
forecast indoor air temperature. The aim is to explore the potential of long short-term …
Real-time prediction model for indoor temperature in a commercial building
Indoor environmental parameters have significant influence on commercial building energy
consumption and indoor thermal comfort. Prediction of these parameters, especially that of …
consumption and indoor thermal comfort. Prediction of these parameters, especially that of …
Cool roofs can mitigate cooling energy demand for informal settlement dwellers
Cities are critical to meeting our sustainable energy goals. Informal settlement
redevelopment programs represent an opportunity to improve living conditions and curb …
redevelopment programs represent an opportunity to improve living conditions and curb …
[HTML][HTML] Predicting indoor air temperature and thermal comfort in occupational settings using weather forecasts, indoor sensors, and artificial neural networks
We present an approach to generate location-specific forecasts of indoor temperature (T i)
and thermal comfort and issue indoor heat warnings for occupational settings. Indoor …
and thermal comfort and issue indoor heat warnings for occupational settings. Indoor …
Simulation and validation of indoor temperatures and relative humidity in multi-zone buildings under occupancy conditions using multi-objective calibration
S Martínez-Mariño, P Eguía-Oller… - Building and …, 2021 - Elsevier
Buildings are expected to be energy efficient but also to provide a comfortable environment
to their occupants as well as to be durable. Indoor relative humidity influences the energy …
to their occupants as well as to be durable. Indoor relative humidity influences the energy …
Choosing between linear and nonlinear models and avoiding overfitting for short and long term groundwater level forecasting in a linear system
Groundwater level forecasting is a useful tool for a more efficient and sustainable
groundwater resource management. Developing models that can accurately reproduce …
groundwater resource management. Developing models that can accurately reproduce …