PSUT Portal 
Intelligent Energy Systems
In this research group, we work on intelligence aspects of the power grid operation. This includes the topic of real-time dynamic pricing in Smart Grids and the application of Machine Learning tools in power system applications.
Areas of Focus
- The application of Machine Learning tools in power system applications
- Intelligence aspects of the power grid operation
- Real-time dynamic pricing in Smart Grids
Publications
| YEAR | Title | Author | Download | Link | |
|---|---|---|---|---|---|
| 2024 | Optimal PMU Placement for Fault Classification and Localization Using Enhanced Feature Selection in Machine Learning Algorithms | Ayman Faza, Amjed Al-Mousa, Rajaa Alqudah | PPT | Link | |
| 2021 | An Analysis of Profits and Savings in Generation Cost for Different Dynamic Pricing Schemes | Ayman Faza, Amjed Al-Mousa | PPT | Link | |
| 2019 | A fuzzy-based customer response prediction model for a day-ahead dynamic pricing system | Amjed Al-Mousa, Ayman Faza | PPT | Link | |
| 2019 | PSO-based optimization toward intelligent dynamic pricing schemes parameterization | Ayman Faza, Amjed Al-Mousa | PPT | Link | |