| OPTIMIZATION OF HVAC CONTROL SYSTEM STRATEGY USING TWO OBJECTIVE GENETIC ALGORITHM N Nassif HVAC&R Research 11 (3), 459-486, 2005 | 273 | 2005 |
| A robust CO2-based demand-controlled ventilation control strategy for multi-zone HVAC systems N Nassif Energy and buildings 45, 72-81, 2012 | 188 | 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 | 103 | 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 | 61 | 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 | 54 | 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 | 41 | 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 | 38 | 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 | 29 | 2020 |
| Modeling and Optimization of HVAC Systems Using Artificial Intelligence Approaches. N Nassif ASHRAE Transactions 118 (2), 2012 | 19 | 2012 |
| Simplified model-based optimal control of VAV air-conditioning system N Nassif, S Kajl, R Sabourin | 19 | 2005 |
| Optimization-based data-enabled modeling technique for HVAC systems components R Talib, N Nabil, W Choi Buildings 10 (9), 163, 2020 | 18 | 2020 |
| 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 | 15 | 2022 |
| Modeling and validation of existing VAV system components N Nassif, S Kajl, R Sabourin | 15 | 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 |
| 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 | 11 | 2017 |
Robert SabourinProfessor emeritus @ École de technologie supérieure - LIVIA - REPARTIVerified email at etsmtl.ca
