Within the research theme “Sustainable Products & Energy Systems,” research focuses on intelligent and resilient electricity grids, developing AI-driven modelling, optimization, and control, including edge-based intelligence to coordinate renewable generation, energy storage, electric vehicles, flexible loads, buildings, and other grid-connected assets while respecting power-system constraints.
https://www.utwente.nl/en/et/dpm/chair/amspes/spes/
The available assignments and internships can be found here: https://www.utwente.nl/en/et/dpm/chair/amspes/spes/assignments/
Check latest publications here: https://people.utwente.nl/e.shirazi?tab=research
Examples of theses
- Spatio-Temporal Safe Reinforcement Learning for Stochastic Dynamic Optimal Power Flow
- Multi-Agent System of Edge Controllers for System-level coordination
- Copula Informed Quantile Regression for Probabilistic EV Charging Demand Forecasting
- Increasing the hosting capacity of distribution grid for integration of renewable energy resources
- Learning EV Charging Behavior with Mixture Density Networks for Controlling PV Charging Stations
- Potential of trading energy internally at University of Twente campus
- Edge Control for Energy Management Systems using TinyML
- Multi-temporal PV power prediction using long short-term memory and wavelet packet decomposition
Contact
