Outputs (3)

Proposal of a Novel Nonlinear Nested Control for a Solar Panel: Theory and Simulation Results (2022)
Presentation / Conference Contribution
Dhahbane, D., Busawon, K., Nemra, A., Sakhi, S., Malik, F. A., & Hamissi, A. (2022, December). Proposal of a Novel Nonlinear Nested Control for a Solar Panel: Theory and Simulation Results. Presented at 7th International Conference on Environment Friendly Energies and Applications, Bagatelle, Moka, Mauritius & Online

Due to their inherent capacity to convert solar energy to electrical energy, photovoltaic systems are considered as one of the most promising developing technologies which are gaining a lot of attention these days. In this paper, we propose a novel f... Read More about Proposal of a Novel Nonlinear Nested Control for a Solar Panel: Theory and Simulation Results.

Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging (2022)
Journal Article
Ahmad, A., Khalid, M., Ullah, Z., Ahmad, N., Aljaidi, M., Malik, F. A., & Manzoor, U. (2022). Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging. Energies, 15(24), Article 9471. https://doi.org/10.3390/en15249471

The rise of the intelligent, local charging facilitation and environmentally friendly aspects of electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still numerous challenges faced by researchers trying to put EVs... Read More about Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging.

Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service (2022)
Journal Article
Malik, F. A., Dala, L., Khalid, M., & Busawon, K. (2022). Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service. Applied Sciences, 12(20), Article 10643. https://doi.org/10.3390/app122010643

This paper develops an intelligent real-time learning framework for the last-mile delivery of mobility as a service in city planning, based upon safe infrastructure use. Through a hybrid approach integrating statistics and supervised machine learning... Read More about Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service.