Thermal comfort prediction is vital in achieving a good indoor environment and efficient
energy management. However, thermal comfort is strongly nonlinear and dynamically …

In this paper, PSO-OMRC model is proposed for heating ventilation and air conditioning
(HVAC) system. The PSO-OMRC predicts SPT in HVAC for energy saving and thermal …

Traditional methods for predicting thermal error ignore the correlation between physical
world data and virtual world data, leading to the low prediction accuracy of thermal errors …

Personal thermal comfort affects occupants' health, well-being, and productivity. Its
satisfaction is subjective, based on individual characteristics and dynamic environments …

The HVAC (Heating, Ventilation, and Air Conditioning) system is an important component of
a building's energy consumption, and its primary function is to provide a comfortable thermal …

Thermal comfort in the building affects occupants' health, productivity, and electricity use.
Predicting occupants' thermal comfort in advance will be helpful. Nowadays, a widely used …

Addressing the critical need for enhanced power usage effectiveness in data centers (DCs),
this study pioneers an improved convolutional long short-term memory with deep neural …

This work proposes a data-driven decision-making approach to develop a smart avatar that
allows for evaluating the thermal comfort experienced by a user in Chile. The ANSI/ASHRAE …

For the past few decades, control and building engineering communities have been
focusing on thermal comfort as a key factor in designing sustainable building evaluation …

Rapid urban development is a contributor to the ongoing climate change, leading to rising
temperatures, frequent heat waves, and various environmental impacts. This created a …