Ali Malkawi
- 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). (2024):
- 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). (2023):
- 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). (2022):
- 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). (2021):
- Design-based natural ventilation evaluation in early stage for high performance buildings. In: Sustainable Cities and Society, v. 45 (February 2019). (2019):
- Annual hourly CFD simulation: New approach—An efficient scheduling algorithm for fast iteration convergence. In: Building Simulation, v. 7, n. 4 (April 2014). (2014):
- Predicting thermal and energy performance of mixed-mode ventilation using an integrated simulation approach. In: Building Simulation, v. 9, n. 3 (March 2016). (2016):
- Simplified direct forcing approach for dynamic modeling of building natural ventilation. In: Building and Environment, v. 188 (January 2021). (2021):
- An interoperability workbench for design analysis integration. In: Energy and Buildings, v. 36, n. 8 (August 2004). (2004):
- A new methodology for building energy performance benchmarking: An approach based on intelligent clustering algorithm. In: Energy and Buildings, v. 84 (December 2014). (2014):
- Optimal control of HVAC and window systems for natural ventilation through reinforcement learning. In: Energy and Buildings, v. 169 (June 2018). (2018):
- Dynamic metrics of natural ventilation cooling effectiveness for interactive modeling. In: Building and Environment, v. 180 (August 2020). (2020):
- 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). (2017):
- Evacuation simulation models: Challenges in modeling high rise building evacuation with cellular automata approaches. In: Automation in Construction, v. 17, n. 4 (May 2008). (2008):