[HTML][HTML] A review of building climate and plant controls, and a survey of industry perspectives

M Royapoor, A Antony, T Roskilly - Energy and Buildings, 2018 - Elsevier
A historic and current perspective is offered of building climate and plant control techniques
while also reporting the results of a survey that reveals more conventional control methods …

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 …

Demand response strategy based on reinforcement learning and fuzzy reasoning for home energy management

F Alfaverh, M Denai, Y Sun - IEEE access, 2020 - ieeexplore.ieee.org
As energy demand continues to increase, demand response (DR) programs in the electricity
distribution grid are gaining momentum and their adoption is set to grow gradually over the …

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 …

Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings

RZ Homod, KS Gaeid, SM Dawood, A Hatami… - Applied Energy, 2020 - Elsevier
In some fields, such as the semiconductor manufacturing process, museum, pharmaceutical,
and medicine manufacturing industry, the HVAC system needs a very fast response time to …

Deep clustering of cooperative multi-agent reinforcement learning to optimize multi chiller HVAC systems for smart buildings energy management

RZ Homod, ZM Yaseen, AK Hussein… - Journal of Building …, 2023 - Elsevier
Chillers are responsible for almost half of the total energy demand in buildings. Hence, the
obligation of control systems of multi-chiller due to changes indoor environments is one of …

Analysis and optimization of HVAC control systems based on energy and performance considerations for smart buildings

RZ Homod - Renewable Energy, 2018 - Elsevier
The most distinctive properties of the HVAC systems are their large-scale nonlinear systems
that contain large thermal inertia, time variability, nonlinear constraints, uncertain …

A novel hybrid modelling structure fabricated by using Takagi-Sugeno fuzzy to forecast HVAC systems energy demand in real-time for Basra city

RZ Homod, H Togun, HJ Abd, KSM Sahari - Sustainable Cities and Society, 2020 - Elsevier
Abstract the HVAC systems consume more than half of the total buildings energy demand,
forecasting the cooling/heating load of the building is important to predict buildings energy …

Fuzzy based particle swarm optimization for modeling home appliances towards energy saving and cost reduction under demand response consideration

K Parvin, MA Hannan, AQ Al-Shetwi, PJ Ker… - IEEE …, 2020 - ieeexplore.ieee.org
Recently, homes consume around 40% of world power and produce 21% of the total
greenhouse gas emissions. Thus, the proper management of energy in the domestic sector …