OPTIMIZATION OF HVAC CONTROL SYSTEM STRATEGY USING TWO OBJECTIVE GENETIC ALGORITHM N Nassif HVAC&R Research 11 (3), 459-486, 2005 | 272 | 2005 |
A robust CO2-based demand-controlled ventilation control strategy for multi-zone HVAC systems N Nassif Energy and buildings 45, 72-81, 2012 | 185 | 2012 |
Modeling and optimization of HVAC systems using artificial neural network and genetic algorithm N Nassif Building Simulation 7, 237-245, 2014 | 103 | 2014 |
Self-tuning dynamic models of HVAC system components N Nassif, S Moujaes, M Zaheeruddin Energy and Buildings 40 (9), 1709-1720, 2008 | 101 | 2008 |
Evolutionary algorithms for multi-objective optimization in HVAC system control strategy N Nassif, S Kajl, R Sabourin IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS'04. 1 …, 2004 | 84 | 2004 |
A new operating strategy for economizer dampers of VAV system N Nassif, S Moujaes Energy and Buildings 40 (3), 289-299, 2008 | 60 | 2008 |
Ventilation control strategy using the supply CO2 concentration setpoint N Nassif, S Kajl, R Sabourin Hvac&R Research 11 (2), 239-262, 2005 | 58 | 2005 |
The impact of air filter pressure drop on the performance of typical air-conditioning systems N Nassif Building Simulation 5, 345-350, 2012 | 53 | 2012 |
A cost‐effective operating strategy to reduce energy consumption in a HVAC system N Nassif, S Moujaes International Journal of Energy Research 32 (6), 543-558, 2008 | 51 | 2008 |
Performance analysis of supply and return fans for HVAC systems under different operating strategies of economizer dampers N Nassif Energy and Buildings 42 (7), 1026-1037, 2010 | 39 | 2010 |
Two-objective on-line optimization of supervisory control strategy N Nassif, S Kajl, R Sabourin Building Services Engineering Research and Technology 25 (3), 241-251, 2004 | 37 | 2004 |
Modeling of building energy consumption by integrating regression analysis and artificial neural network with data classification I Ridwana, N Nassif, W Choi Buildings 10 (11), 198, 2020 | 27 | 2020 |
Development of optimization algorithms for building energy model using artificial neural networks NC Seong, JH Kim, W Choi, SC Yoon, N Nassif J. Korean Soc. Living Environ. Syst 24, 29-36, 2017 | 19 | 2017 |
Modeling and Optimization of HVAC Systems Using Artificial Intelligence Approaches. N Nassif ASHRAE Transactions 118 (2), 2012 | 19 | 2012 |
Optimization-based data-enabled modeling technique for HVAC systems components R Talib, N Nabil, W Choi Buildings 10 (9), 163, 2020 | 18 | 2020 |
Simplified model-based optimal control of VAV air-conditioning system N Nassif, S Kajl, R Sabourin | 18 | 2005 |
Impact of Ice Thermal Storage on Cooling Energy Cost for Commercial HVAC Systems. N Nassif, RC Tesiero, H Singh ASHRAE Transactions 119 (1), 2013 | 16 | 2013 |
New optimal supply air temperature and minimum zone air flow resetting strategies for VAV Systems N Nassif, M Tahmasebi, I Ridwana, P Ebrahimi Buildings 12 (3), 348, 2022 | 14 | 2022 |
Modeling and validation of existing VAV system components N Nassif, S Kajl, R Sabourin | 14 | 2004 |
Simulated performance analysis of a multizone VAV system under different ventilation control strategies N Nassif, M Zaheer-uddin ASHRAE Transactions 113 (1), 617-630, 2007 | 13 | 2007 |