Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques

GH Merabet, M Essaaidi, MB Haddou… - … and Sustainable Energy …, 2021 - Elsevier
Building operations represent a significant percentage of the total primary energy consumed
in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning …

[HTML][HTML] Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review

Y Balali, A Chong, A Busch, S O'Keefe - Renewable and Sustainable …, 2023 - Elsevier
Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings

Y Lei, S Zhan, E Ono, Y Peng, Z Zhang, T Hasama… - Applied Energy, 2022 - Elsevier
Reinforcement learning (RL) has been shown to have the potential for optimal control of
heating, ventilation, and air conditioning (HVAC) systems. Although research on RL-based …

Deep clustering of Lagrangian trajectory for multi-task learning to energy saving in intelligent buildings using cooperative multi-agent

RZ Homod, HI Mohammed, A Abderrahmane, OA Alawi… - Applied Energy, 2023 - Elsevier
The intelligent buildings provided various incentives to get highly inefficient energy-saving
caused by the non-stationary building environments. In the presence of such dynamic …

Effect of different building envelope materials on thermal comfort and air-conditioning energy savings: A case study in Basra city, Iraq

RZ Homod, A Almusaed, A Almssad, MK Jaafar… - Journal of Energy …, 2021 - Elsevier
Recently, a numerous number of houses has been built using AAC materials, which
consume the most amount of energy in the building sector by Heating, ventilation, and air …

Fuzzy compromised solution-based novel home appliances scheduling and demand response with optimal dispatch of distributed energy resources

M Waseem, Z Lin, S Liu, Z Zhang, T Aziz, D Khan - Applied Energy, 2021 - Elsevier
Due to environmental issues and smart grid development, distributed energy resources,
energy storage systems, and demand response (DR) are gaining attention to reduce the …

A comprehensive review on energy saving options and saving potential in low voltage electricity distribution networks: Building and public lighting

O Sadeghian, A Moradzadeh… - Sustainable Cities and …, 2021 - Elsevier
In recent years, energy saving has attracted the attention of researchers due to environment,
energy, and reliability issues. Energy saving due to these advantages is one of the major …

Dynamics analysis of a novel hybrid deep clustering for unsupervised learning by reinforcement of multi-agent to energy saving in intelligent buildings

RZ Homod, H Togun, AK Hussein, FN Al-Mousawi… - Applied Energy, 2022 - Elsevier
The heating, ventilating and air conditioning (HVAC) systems energy demand can be
reduced by manipulating indoor conditions within the comfort range, which relates to control …

Peak reduction and long term load forecasting for large residential communities including smart homes with energy storage

H Gong, V Rallabandi, ML McIntyre, E Hossain… - IEEE …, 2021 - ieeexplore.ieee.org
Domestic load profiles in the residential sectors are being modified with the adoption of
smart home management systems and solar generation. In addition, houses with rooftop PV …

Energy consumption of plant factory with artificial light: Challenges and opportunities

W Cai, K Bu, L Zha, J Zhang, D Lai, H Bao - Renewable and Sustainable …, 2025 - Elsevier
Plant factory with artificial light is proved to be a promising technology for relieving the food
crisis, especially in urban areas or arid regions endowed with abundant resources …