Farzin Golzar
Assistant Professor
KTH-Royal Institute of Technology
Stockholm, Sweden
AI-based forecasting, optimization, LCA, and battery aging models for renewable energy and storage systems across sectors.
My organisation
About me
Farzin Golzar is an Assistant Professor at KTH Royal Institute of Technology, Division of Heat and Power Technology. His research focuses on the modeling, optimization, and sustainability assessment of renewable energy systems, with a particular emphasis on hybrid AI-physical models, life cycle assessment (LCA), and techno-economic analysis. He has worked across sectors such as buildings, transport, and energy storage. His core interests include AI for renewable energy, digital twins, and comparative sustainability of energy technologies.
Skills
- Energy srorage
- AI-based models
- Agentic AI
- optimization
- Data-driven models
- Interactive buildings
- Prosumers and flexumers
- Battery aging models
Additional questions
I am interested in the following CETPartnership thematic areas:
Marketplace (1)
- Author