[HTML][HTML] Machine learning-based predictive model for thermal comfort and energy optimization in smart buildings

Y Boutahri, A Tilioua - Results in Engineering, 2024 - Elsevier
In the current context of energy transition and increasing climate change, optimizing building
performance has become a critical objective. Efficient energy use and occupant comfort are …

An artificial neural network-based system to estimate the thermal comfort of buildings with energy efficiency

Y Boutahri, A Tilioua - ITM Web of Conferences, 2023 - itm-conferences.org
Heating Ventilation Air Condition (HVAC) systems consume the majority of energy in a
building; it is essential to optimize this energy while improving the thermal comfort of the …

[PDF][PDF] Results in Engineering

Y Boutahri, A Tilioua - researchgate.net
In the current context of energy transition and increasing climate change, optimizing building
performance has become a critical objective. Efficient energy use and occupant comfort are …

Artificial Intelligent-Based System for Thermal Comfort Control in Smart Building

Y Boutahri, A Tilioua - … Conference on Artificial Intelligence and Smart …, 2022 - Springer
Buildings consume a significant amount of the world's energy. An important portion of this
energy is utilized to maintain building thermal comfort. Since Heating Ventilation Air …