Spyridon Chapaloglou
Research Scientist
- Unit:
- SINTEF Energy Research
- Department:
- Energy Systems
- Office:
- Trondheim
Researching future offshore grids with advanced wind farm controls.
Education
Ph.D. in Electric Power Engineering,
Thesis: "Data-driven methods for sizing and control of energy storage systems", Norwegian University of Science and Technology (NTNU, 2023).
MSc in Automation Systems, National Technical University of Athens (NTUA, 2016)
Diploma in Mechanical Engineering , National Technical University of Athens (NTUA, 2016)
Competence and research areas
My main research interests include data-driven energy management and control algorithms, optimization under uncertainty, and statistical/machine learning methods applied to power systems.
https://gr.linkedin.com/in/spiros-chapaloglou
ResearchGate
https://www.researchgate.net/profile/Spyridon-Chapaloglou
ORCID
Highlighted publications
- Optimal Energy Management in Autonomous Power Systems With Probabilistic Security Constraints and Adaptive Frequency Control
- Data-driven energy management of isolated power systems under rapidly varying operating conditions Read publication
- Multi-objective control of isolated power systems under different uncertainty approaches Read publication
- Data-informed scenario generation for statistically stable energy storage sizing in isolated power systems Read publication
- Data dependent concurrent storage sizing and control design for frequency support in isolated power systems
Contact info
Visiting address:
Prinsens gate 1
Trondheim