A review on enhancing energy efficiency and adaptability through system integration for smart buildings

I Ahmed, M Asif, HH Alhelou, M Khalid - Journal of Building Engineering, 2024 - Elsevier
The increasing need for reducing carbon emissions and promoting smart, energy-saving
buildings is fueling the rising trend of sophisticated control systems. This study provides …

[HTML][HTML] Model-free HVAC control in buildings: A review

P Michailidis, I Michailidis, D Vamvakas… - Energies, 2023 - mdpi.com
The efficient control of HVAC devices in building structures is mandatory for achieving
energy savings and comfort. To balance these objectives efficiently, it is essential to …

Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning

D Kim, G Seomun, Y Lee, H Cho, K Chin, MH Kim - Applied Energy, 2024 - Elsevier
This study evaluates the effectiveness of the long and short-term (LSTM) implementation
with a particular emphasis on assessing the impact of transfer learning techniques in …

[HTML][HTML] Deep learning artificial intelligence framework for sustainable desiccant air conditioning system: Optimization towards reduction in water footprints

R Tariq, M Ali, NA Sheikh, MW Shahzad… - … Communications in Heat …, 2023 - Elsevier
Desiccant evaporative cooling systems pave the path towards energy and environmental
sustainability in buildings especially; however, the direct evaporative coolers in such …

Prospects and challenges of reinforcement learning-based HVAC control

A Iyanu, H Chang, CS Lee, S Chang - Journal of Building Engineering, 2024 - Elsevier
Increasing worldwide energy demand and the resulting escalations in greenhouse gas
emissions require a reassessment of energy usage in many sectors. The building industry …

[HTML][HTML] Field test of machine-learning based mean radiant temperature estimation methods for thermal comfort-integrated air-conditioning control improvement and …

J Park, T Kim, D Kim, F Alghimlas, F AlRagom, H Choi… - Energy Reports, 2024 - Elsevier
Advanced control strategies for heating, ventilation, and air-conditioning (HVAC) systems
aim to enhance both buildings' energy efficiency and occupant thermal comfort. Despite their …

Particle Swarm Optimization for multi-chiller system: Capacity configuration and load distribution

JH Cha, J Park, SH Yeon, Y Yoon, KH Lee - Journal of Building …, 2024 - Elsevier
Abstract This study applies Particle Swarm Optimization (PSO) to enhance the energy
efficiency of a multi-chiller system in a large office building, with a focus on optimizing …

Hygrothermal modeling in mass timber constructions: recent advances and machine learning prospects

SA Shams, H Ge, L Wang - Journal of Building Engineering, 2024 - Elsevier
This review paper provides a comprehensive overview of hygrothermal modeling with a
focus on its application in mass timber construction, a sustainable and innovative …

A Critical Review and Future Prospects of Control-Oriented HVAC Modeling Strategies in Electric Vehicles

M Alizadeh, S Dhale, A Emadi - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electric vehicles (EVs) have emerged as a promising solution in the transportation industry,
but their adoption is hindered by range anxiety due to uncertainty in driving range …

Development and calibration of apartment building energy model based on architectural and energy consumption characteristics

R Lee, D Kim, J Yoon, E Kang, H Cho, J Kim - Renewable and Sustainable …, 2024 - Elsevier
Building energy modeling is pivotal in achieving sustainable energy goals throughout a
building's design and operation. However, discrepancies often arise between actual energy …