Staff profile
Overview
Dr Muhammed Cavus
Academic Visitor
| Affiliation |
|---|
| Academic Visitor in the Department of Engineering |
| Post-Doctoral Research Associate (Affiliated) in the Institute of Hazard, Risk and Resilience |
Publications
Journal Article
- Understanding User Behaviour and Predicting Charging Costs: A Machine Learning Approach to Support Electric Vehicle Adoption DecisionsCavus, M., Ayan, H., Bell, M., & Dissanayake, D. (2026). Understanding User Behaviour and Predicting Charging Costs: A Machine Learning Approach to Support Electric Vehicle Adoption Decisions. IET Intelligent Transport Systems, 19(1), Article e70088. https://doi.org/10.1049/itr2.70088
- Enhancing Smart Grid Reliability Through Data-Driven Optimisation and Cyber-Resilient EV IntegrationCavus, M., Ayan, H., Sari, M., Akbulut, O., Dissanayake, D., & Bell, M. (2025). Enhancing Smart Grid Reliability Through Data-Driven Optimisation and Cyber-Resilient EV Integration. Energies, 18(17), Article 4510. https://doi.org/10.3390/en18174510
- Enabling Smart Grid Resilience with Deep Learning-Based Battery Health Prediction in EV FleetsCavus, M., & Bell, M. (2025). Enabling Smart Grid Resilience with Deep Learning-Based Battery Health Prediction in EV Fleets. Batteries, 11(8), 283. https://doi.org/10.3390/batteries11080283