[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 …

Review on the HVAC system modeling types and the shortcomings of their application

RZ Homod - Journal of Energy, 2013 - Wiley Online Library
The modeling of the heating, ventilation, and air conditioning (HVAC) system is a prominent
topic because of its relationship with energy savings and environmental, economical, and …

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 …

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 …

RLF and TS fuzzy model identification of indoor thermal comfort based on PMV/PPD

RZ Homod, KSM Sahari, HAF Almurib, FH Nagi - Building and Environment, 2012 - Elsevier
This work presents a hybrid model to be used for effectively controlling indoor thermal
comfort in a heating, ventilating and air conditioning (HVAC) system. The first modeling part …