Dr.ir. E. Shirazi | People Pages: Find employees & contact details

Elham Shirazi (Eli Shirazi) received her PhD in Electrical Engineering with her thesis titled: "Self-Healing of Smart Distribution Networks with PV Penetration by Distributed Control". She joined the University of Twente in 2021 after completing her postdoctoral research at the Electrical Engineering Department of Katholieke Universiteit Leuven in Belgium. She also worked at the Energy Department of IMEC, Belgium. Her research is multidisciplinary in Energy System Control with a focus on embedding trustworthiness principles into AI models that help decision-making in power systems while supporting the transition to a more resilient, flexible, autonomous, and low-carbon infrastructure.

Her research interests are:

Trustworthy and physics-informed AI for power and energy systems operation and control
Safe reinforcement learning for power and energy systems operation and control
Multi-Agent Systems for distributed coordination and control
Self-healing and self-organizing power systems
AI-based and probabilistic forecasting of demand, renewable generation, flexibility, and electricity prices
Edge-based forecasting and control
Data-driven and learning-based control of energy systems

She contributes to national and international research, education, and innovation initiatives, including activities within IEA PVPS, ETIP PV, and 4TU.Energy.

For assignments and internships please check here.

She is open to collaborating with internal and external researchers; just drop her an email at e.shirazi@utwente.nl to discuss any collaboration opportunity!

Expertise

Engineering
- Solar Energy
- Photovoltaic System
- Energy Management
- Compressed Air Motors
- Smart Home
- Lstm
Computer Science
- Storage System
- Long Short-Term Memory Network

Organisations

Publications

2026

Spatio-Temporal Safe Reinforcement Learning for Stochastic Dynamic Optimal Power Flow (2026)[Working paper › Preprint]. ArXiv.org (Submitted). Heydarian Ardakani, A., Hurink, J. L. & Shirazi, E.Actor-Identifier-Critic Reinforcement Learning for Adaptive Model-Free Optimal Control of Nonlinear Systems with Stochastic Packet Dropouts (2026)[Working paper › Preprint]. ArXiv.org. Aqabakee, K., Behnia, K., Ardakani, A. H., Abdollahi, F. & Shirazi, E.https://doi.org/10.48550/arXiv.2605.28569MDN-MPC: Learning EV Charging Behavior with Mixture Density Networks for Controlling PV Charging Stations (2026)IEEE Transactions on Transportation Electrification, 12(2), 3525-3535. Ardakani, A. H., Nijenhuis, B., Hurink, J., Gibson, I. & Shirazi, E.https://doi.org/10.1109/TTE.2026.3656021Adaptive Primary Control with Certified Trajectory Envelopes for Frequency-Constrained Optimal Power Flow in IBR-Dominated Power Systems (2026)[Working paper › Preprint]. University of Twente (In preparation). Heydarian Ardakani, A. & Shirazi, E.

2025

Attention-Based Temporal Reinforcement Learning for Energy System Control (2025)In 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2025 (IEEE PES Innovative Smart Grid Technologies Conference Europe). IEEE. Heydarian Ardakani, A., Hurink, J., Gibson, I. & Shirazi, E.https://doi.org/10.1109/ISGTEurope64741.2025.11305619Multi-temporal PV power prediction using long short-term memory and wavelet packet decomposition (2025)Energy and AI, 21. Article 100540. Sardarabadi, A., Heydarian Ardakani, A., Matrone, S., Ogliari, E. & Shirazi, E.https://doi.org/10.1016/j.egyai.2025.100540Probabilistic Forecast of EV Charging Demand using Quantile Regression and LSTM with Attention Mechanism (2025)In E-ENERGY '25: Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems (pp. 1005-1007) (E-ENERGY Conference Proceedings; Vol. 2025). Association for Computing Machinery, Inc. Matrone, S., Heydarian Ardakani, A., Ogliari, E., Shirazi, E. & Leva, S.https://doi.org/10.1145/3679240.3734687Embedding Temporal Awareness in Reinforcement Learning Models for Energy System Control (2025)In E-ENERGY 2025 - Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems (pp. 1002-1004). Association for Computing Machinery. Ardakani, A. H., Hurink, J., Gibson, I. & Shirazi, E.https://doi.org/10.1145/3679240.3734686Bi-level Optimization of Mobile Energy Storage System Allocation and Scheduling for Grid Stability and Peak Load Reduction (2025)In 2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024 (pp. 1077-1082). IEEE. Verhoef, P. B. C., Ahmadi, B. & Shirazi, E.https://doi.org/10.1109/EI264398.2024.10991884Scalable Charging Optimization of Battery Energy Storage Systems with Deep Reinforcement Learning (2025)In IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024. IEEE. Ardakani, A. H., Aqabakee, K., Abdollahi, F. & Shirazi, E.https://doi.org/10.1109/ISGTEUROPE62998.2024.10863295

Research profiles

I teach the following courses at the University of Twente:

Energy System Integration (ESI) - Q4/2B
Building Integrated Photovoltaics (BIPV) & X-Integrated PV (XIPV) - Q2/1B

The courses are offered in Q2 and Q4 as stated above and are open to enrollment for students from the SET, ME, EE, EMSYS, and CS programs.

Affiliated study programs

Courses academic year 2026/2027

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.