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 …

In alignment with the rapid development of artificial intelligence in the era of data
management, the application domains for machine learning have expanded to all …

Artificial intelligence (AI) has emerged as a pivotal tool in optimizing waste-to-energy
conversion technology, addressing critical environmental issues while promoting …

Literature search across different databases showed that the application of artificial
intelligence (AI) in heating, ventilation and air conditioning (HVAC) equipment has been …

Energy sectors of all the countries around the world are faced with a big challenge: the
energy transition under the imperative of continuous reduction of carbon dioxide emissions …

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 …

Due to the increasing number of underground metro stations worldwide and the great
energy consumption of heating, ventilation and air conditioning (HVAC) systems in …

The progress of Indoor Environmental Quality (IEQ) research in school buildings has
increased profusely in the last two decades and the interest in this area is still growing …

Abstract The use of Artificial Intelligence (AI) technologies in buildings can assist in reducing
energy consumption through enhanced control, automation, and reliability. This review aims …

This paper presents a novel method, named proactive 2-stage demand-controlled
ventilation (P2S-DCV) method, to maintain indoor air quality (IAQ) and reduce the energy …