| Applying multi-objective genetic algorithms in green building design optimization W Wang, R Zmeureanu, H Rivard Building and environment 40 (11), 1512-1525, 2005 | 962 | 2005 |
| On-line building energy prediction using adaptive artificial neural networks J Yang, H Rivard, R Zmeureanu Energy and buildings 37 (12), 1250-1259, 2005 | 469 | 2005 |
| Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses L Farinaccio, R Zmeureanu Energy and buildings 30 (3), 245-259, 1999 | 361 | 1999 |
| Floor shape optimization for green building design W Wang, H Rivard, R Zmeureanu Advanced Engineering Informatics 20 (4), 363-378, 2006 | 334 | 2006 |
| Life cycle cost and energy analysis of a Net Zero Energy House with solar combisystem M Leckner, R Zmeureanu Applied Energy 88 (1), 232-241, 2011 | 284 | 2011 |
| Forecasting energy use in buildings using artificial neural networks: A review J Runge, R Zmeureanu Energies 12 (17), 3254, 2019 | 209 | 2019 |
| An object-oriented framework for simulation-based green building design optimization with genetic algorithms W Wang, H Rivard, R Zmeureanu Advanced Engineering Informatics 19 (1), 5-23, 2005 | 189 | 2005 |
| Comparison of environmental impacts of two residential heating systems L Yang, R Zmeureanu, H Rivard Building and Environment 43 (6), 1072-1081, 2008 | 99 | 2008 |
| Development of an energy rating system for existing houses R Zmeureanu, P Fazio, S DePani, R Calla Energy and buildings 29 (2), 107-119, 1999 | 82 | 1999 |
| Energy and exergy performance of residential heating systems with separate mechanical ventilation R Zmeureanu, XY Wu Energy 32 (3), 187-195, 2007 | 79 | 2007 |
| Exergy analysis of variable air volume systems for an office building Z Wei, R Zmeureanu Energy conversion and management 50 (2), 387-392, 2009 | 75 | 2009 |
| Optimization of a residential solar combisystem for minimum life cycle cost, energy use and exergy destroyed JNC Hin, R Zmeureanu Solar Energy 100, 102-113, 2014 | 71 | 2014 |
| A review of deep learning techniques for forecasting energy use in buildings J Runge, R Zmeureanu Energies 14 (3), 608, 2021 | 69 | 2021 |
| Experimental study on the flow characteristics of air curtains at building entrances S Goubran, D Qi, WF Saleh, LL Wang, R Zmeureanu Building and Environment 105, 225-235, 2016 | 69 | 2016 |
| Building energy prediction with adaptive artificial neural networks J Yang, H Rivard, R Zmeureanu Ninth International IBPSA Conference, Montréal, Canada, 15-18, 2005 | 69 | 2005 |
| Modeling and optimization of a solar assisted heat pump using ice slurry as a latent storage material J Tamasauskas, M Poirier, R Zmeureanu, R Sunyé Solar Energy 86 (11), 3316-3325, 2012 | 64 | 2012 |
| An analytical model of heat and mass transfer through non-adiabatic high-rise shafts during fires D Qi, L Wang, R Zmeureanu International Journal of Heat and Mass Transfer 72, 585-594, 2014 | 63 | 2014 |
| PCA-based method of soft fault detection and identification for the ongoing commissioning of chillers N Cotrufo, R Zmeureanu Energy and Buildings 130, 443-452, 2016 | 62 | 2016 |
| Thermal performance of a hollow core concrete floor system for passive cooling R Zmeureanu, P Fazio Building and environment 23 (3), 243-252, 1988 | 59 | 1988 |
| A methodology for identifying the influence of design variations on building energy performance S Bucking, R Zmeureanu, A Athienitis Journal of Building Performance Simulation 7 (6), 411-426, 2014 | 54 | 2014 |
