- Enhancing Building Energy Efficiency with Aluminum Composite Material Facade: A Performance Simulation Study using Building Energy Modeling and Building Information Modeling. Dans: IOP Conference Series: Materials Science and Engineering, v. 1289, n. 1 (1 août 2023). (2023):
- Implementing a web-based optimized artificial intelligence system with metaheuristic optimization for improving building energy performance. Dans: Journal of Asian Architecture and Building Engineering, v. 23, n. 1 (novembre 2023). (2023):
- Axial strength prediction of steel tube confined concrete columns using a hybrid machine learning model. Dans: Structures, v. 36 (février 2022). (2022):
- Continuous-time Bayesian calibration of energy models using BIM and energy data. Dans: Energy and Buildings, v. 194 (juillet 2019). (2019):
- Early predicting cooling loads for energy-efficient design in office buildings by machine learning. Dans: Energy and Buildings, v. 182 (janvier 2019). (2019):
- Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression. Dans: Journal of Computing in Civil Engineering, v. 30, n. 1 (janvier 2016). (2016):
- Smart grid data analytics framework for increasing energy savings in residential buildings. Dans: Automation in Construction, v. 72 (décembre 2016). (2016):