Advanced Anomaly Detection in Energy Control Systems Using Machine Learning and Feature Engineering. - Zaid Allal; Hassan Noura 001; Ola Salman; Ali Chehab (CSNet, 2024)

Predicting Power Consumption Using Machine Learning Techniques. - Zaid Allal; Hassan Noura 001; Ola Salman; Flavien Vernier (IWCMC, 2024)

Leveraging the power of machine learning and data balancing techniques to evaluate stability in smart grids. - Zaid Allal; Hassan N. Noura; Ola Salman; Khaled Chahine (Eng. Appl. Artif. Intell., 2024)

Wind turbine fault detection and identification using a two-tier machine learning framework. - Zaid Allal; Hassan N. Noura; Flavien Vernier; Ola Salman; Khaled Chahine (Intell. Syst. Appl., 2024)

Explainable artificial intelligence of tree-based algorithms for fault detection and diagnosis in grid-connected photovoltaic systems. - Hassan N. Noura; Zaid Allal; Ola Salman; Khaled Chahine (Eng. Appl. Artif. Intell., 2025)