Shahab Tohidi

Postdoctoral Researcher

 

Department of Applied Mathematics and Computer Science

Technical University of Denmark

 

Contact info

 

Please reach me via email: sshto(at)dtu.dk

News

  • February 29, 2024: My new article entitled “Adaptive flexibility function in smart energy systems: A linearized price-demand mapping approach” has been accepted for presentation and publication in the proceedings of the 2024 European Control Conference (ECC).
  • February 09, 2024: I gave a talk for the smart grid-ready building group (link)
  • February 07, 2024: First meeting with bachelor students, Peter, Thomas, and Long, for deep reinforcement learning control project, as advisor. 
  • January 31, 2024: I submitted a paper on optimal price signal generation to the Smart Energy Journal.
  • January 26, 2024: I developed an MPC for demand-side management to find business models related to building technology improvements by 2050, Syn.ikia project Task 4.6 (link)
  • January 17, 2024: I attended the SEEDS project kick-off meeting (link)

Short biography

Shahab is a postdoctoral researcher at the Applied Mathematics and Computer Science Department, at the Technical University of Denmark (DTU). His current research focuses on energy management systems, flexibility, building thermal dynamics, and the electricity market. His recent collaborations with Henrik Madsen and Davide Cali have led to some astonishing results in WP4 of syn.ikia and the commencement of new projects, ARV and SEEDS. Before joining DTU, Shahab received his Ph.D. in Mechanical Engineering at Bilkent University, advised by Yildiray Yildiz. His previous research was on control theory, specifically, on adaptive and nonlinear control of Cyber-Physical Human Systems (CPHSs), where uncertainty, time delay, and nonlinearity affect stability.