Ali Malkawi
- : Airvox: efficient computational fluid dynamics prediction using 3D convolutional neural networks for building design. In: Journal of Building Performance Simulation.
- (2024): Development of window scheduler algorithm exploiting natural ventilation and thermal mass for building energy simulation and smart home controls. In: Journal of Building Engineering, v. 82 (April 2024).
- (2023): Design and applications of an IoT architecture for data-driven smart building operations and experimentation. In: Energy and Buildings, v. 295 (September 2023).
- (2023): Adaptive model predictive control with ensembled multi-time scale deep-learning models for smart control of natural ventilation. In: Building and Environment, v. 242 (August 2023).
- (2023): Model predictive control of short-term winter natural ventilation in a smart building using machine learning algorithms. In: Journal of Building Engineering, v. 73 (August 2023).
- (2023): Data-informed building energy management (DiBEM) towards ultra-low energy buildings. In: Energy and Buildings, v. 281 (February 2023).
- (2022): Comprehensive Assessment of Operational Performance of Coupled Natural Ventilation and Thermally Active Building System via an Extensive Sensor Network. In: Energy and Buildings, v. 260 (April 2022).
- (2022): Zero-carbon balance: The case of HouseZero. In: Building and Environment, v. 207 (January 2022).
- (2021): CoolVox: Advanced 3D convolutional neural network models for predicting solar radiation on building facades. In: Building Simulation, v. 15, n. 5 (October 2021).
- (2021): Using recurrent neural networks for localized weather prediction with combined use of public airport data and on-site measurements. In: Building and Environment, v. 192 (April 2021).
- (2019): Design-based natural ventilation evaluation in early stage for high performance buildings. In: Sustainable Cities and Society, v. 45 (February 2019).
- (2014): Annual hourly CFD simulation: New approach—An efficient scheduling algorithm for fast iteration convergence. In: Building Simulation, v. 7, n. 4 (April 2014).
- (2016): Predicting thermal and energy performance of mixed-mode ventilation using an integrated simulation approach. In: Building Simulation, v. 9, n. 3 (March 2016).
- (2021): Simplified direct forcing approach for dynamic modeling of building natural ventilation. In: Building and Environment, v. 188 (January 2021).
- (2004): An interoperability workbench for design analysis integration. In: Energy and Buildings, v. 36, n. 8 (August 2004).
- (2014): A new methodology for building energy performance benchmarking: An approach based on intelligent clustering algorithm. In: Energy and Buildings, v. 84 (December 2014).
- (2018): Optimal control of HVAC and window systems for natural ventilation through reinforcement learning. In: Energy and Buildings, v. 169 (June 2018).
- (2020): Dynamic metrics of natural ventilation cooling effectiveness for interactive modeling. In: Building and Environment, v. 180 (August 2020).
- (2017): Investigating natural ventilation potentials across the globe: Regional and climatic variations. In: Building and Environment, v. 122 (September 2017).
- (2017): Topography integration to wind downscaling. In: Building and Environment, v. 115 (April 2017).
- (2008): Evacuation simulation models: Challenges in modeling high rise building evacuation with cellular automata approaches. In: Automation in Construction, v. 17, n. 4 (May 2008).
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