Development of a back-propagation neural network and adaptive grey wolf optimizer algorithm for thermal comfort and energy consumption prediction and …

L Li, Y Fu, JCH Fung, H Qu, AKH Lau - Energy and Buildings, 2021 - Elsevier
Heating ventilation and air conditioning (HVAC) systems provide a comfortable indoor
thermal environment, but in the process of attaining appropriate indoor thermal comfort …

Enhancing IAQ, thermal comfort, and energy efficiency through an adaptive multi-objective particle swarm optimizer-grey wolf optimization algorithm for smart …

L Li, Y He, H Zhang, JCH Fung, AKH Lau - Building and Environment, 2023 - Elsevier
People in modern societies spend most of their time in buildings, and a considerable
amount of energy is used to maintain indoor air quality (IAQ) and thermal comfort levels to …

Genetic algorithms based optimization of artificial neural network architecture for buildings' indoor discomfort and energy consumption prediction

F Boithias, M El Mankibi, P Michel - Building Simulation, 2012 - Springer
Growing concerns about energy consumption reduction and comfort improvement inside
buildings make it more and more necessary to be able to predict with fine precision …

A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings

T Chaudhuri, YC Soh, H Li, L Xie - Applied energy, 2019 - Elsevier
Building air-conditioning and mechanical ventilation (ACMV) systems are responsible for
significant energy consumption and yet, dissatisfaction with the thermal environment is …

Data-driven approach to develop prediction model for outdoor thermal comfort using optimized tree-type algorithms

J Jeong, J Jeong, M Lee, J Lee, S Chang - Building and Environment, 2022 - Elsevier
Thermal comfort can affect the productivity, health, and satisfaction of people. Although
indoor thermal comfort can be controlled using heating, ventilation, and air conditioning, this …

Development of a thermal control algorithm using artificial neural network models for improved thermal comfort and energy efficiency in accommodation buildings

JW Moon, SK Jung - Applied Thermal Engineering, 2016 - Elsevier
The aim of this study was to develop a control algorithm to demonstrate the improved
thermal comfort and building energy efficiency of accommodation buildings in the cooling …

Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms

B Chegari, M Tabaa, E Simeu, F Moutaouakkil… - Energy and …, 2021 - Elsevier
During the last few years, multi-objective optimization processes have become one of the
main challenges for energy efficiency in buildings. In this work, a new efficient multi …

Prediction and optimization of thermal comfort, IAQ and energy consumption of typical air-conditioned rooms based on a hybrid prediction model

F Hou, J Ma, HHL Kwok, JCP Cheng - Building and Environment, 2022 - Elsevier
HVAC systems provide satisfactory indoor environments, but they usually consume large
amounts of energy in order to achieve an acceptable thermal comfort level and indoor air …

[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 …

Energy consumption prediction of air-conditioning systems in eco-buildings using hunger games search optimization-based artificial neural network model

R Liang, T Le-Hung, T Nguyen-Thoi - Journal of Building Engineering, 2022 - Elsevier
The energy consumption of the heating, ventilation, and air-conditioning systems is a big
concern of energy-efficient buildings in smart cities, especially for cooling and heating loads …