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