A. (Ali) Rajaei MSc
A. (Ali) Rajaei MSc
Contact
Profile
Biography
Ali joined the Delft-AI-Energy Lab as a PhD student on August 2021. His current research focuses on the intersection of machine learning and optimization, with a focus on its application for power system operation.Before coming to TU Delft, he received his B.Sc. and M.Sc. degrees in Electrical Engineering from Sharif University of Technology, Tehran, Iran, in 2017, and 2019, respectively. For his master thesis, he worked on transactive energy management frameworks in distribution systems. Outside his work in research and education, he enjoys travelling, camping, and watching sitcoms.
Expertise
Publications
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2023
End-to-End Learning with Multiple Modalities for System-Optimised Renewables Nowcasting
Rushil Vohra / Ali Rajaei / Jochen L. Cremer
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2022
Distributed Transactive Framework for Congestion Management of Multiple-Microgrid Distribution Systems
Sajjad Fattaheian-Dehkordi / Ali Rajaei / Ali Abbaspour / Mahmud Fotuhi-Firuzabad / Matti Lehtonen
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2021-11
Decentralized transactive energy management of multi-microgrid distribution systems based on ADMM
Ali Rajaei / Sajjad Fattaheian-Dehkordi / Mahmud Fotuhi-Firuzabad / Moein Moeini-Aghtaie
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2021
Developing a Distributed Robust Energy Management Framework for Active Distribution Systems
A. Rajaei / Sajjad Fattaheian-Dehkordi / Mahmud Fotuhi-Firuzabad / Moein Moeini-Aghtaie / Matti Lehtonen
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2021
Transactive Energy Management Framework for Active Distribution Systems
Ali Rajaei / Sajjad Fattaheian-Dehkordi / Mahmud Fotuhi-Firuzabad / Matti Lehtonen
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