| 1 |
Achieving natural ventilation potential in practice: Control schemes and levels of automation
Chen YJ, Tong ZM, Wu WT, Samuelson H, Malkawi A, Norford L
Applied Energy, 235, 1141, 2019 |
| 2 |
Optimal control of HVAC and window systems for natural ventilation through reinforcement learning
Chen YJ, Norford LK, Samuelson HW, Malkawi A
Energy and Buildings, 169, 195, 2018 |
| 3 |
Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology
Tong ZM, Chen YJ, Malkawi A
Applied Energy, 193, 276, 2017 |
| 4 |
An operation optimization and decision framework for a building cluster with distributed energy systems
Li XW, Wen J, Malkawi A
Applied Energy, 178, 98, 2016 |
| 5 |
Energy saving potential of natural ventilation in China: The impact of ambient air pollution.
Tong ZM, Chen YJ, Malkawi A, Liu Z, Freeman RB
Applied Energy, 179, 660, 2016 |
| 6 |
Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design
Tong ZM, Chen YJ, Malkawi A
Applied Energy, 182, 625, 2016 |
| 7 |
Multi-objective optimization for thermal mass model predictive control in small and medium size commercial buildings under summer weather conditions
Li XW, Malkawi A
Energy, 112, 1194, 2016 |
| 8 |
A new methodology for building energy performance benchmarking: An approach based on intelligent clustering algorithm
Gao XF, Malkawi A
Energy and Buildings, 84, 607, 2014 |
| 9 |
An interoperability workbench for design analysis integration
Augenbroe G, de Wilde P, Moon HJ, Malkawi A
Energy and Buildings, 36(8), 737, 2004 |
