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Research focuses

Energy markets, green energy, digitalization, innovative technologies, decentalization

Curriculum vitae

  • 2025 Assistant Professor in Smart Sustainable Energy Markets -  University of Cologne
  • 2024 -2025 Visiting Faculty Member – Johns Hopkins University
  • 2022 – 20205 Team Lead, energy division of Information Systems department - University of Cologne
  • 2020 – 2022Postdoctoral researcher - Information Systems department - University of Cologne
  • 2018 – 2020 associate researcher – Fraunhofer Institute for Energy Economics and Energy System Technology

Selected publications

  • Talari, S., Birk, S., Ketter, W., & Schneiders, T. (2024). Sequential clearing of network-aware local energy and flexibility markets in community-based grids. IEEE Transactions on Smart Grid, 15(1), 405–417.
  • Naseri, N., Talari, S., Ketter, W., & Collins, J. (2022b). Dynamic retail market tariff design for an electricity aggregator using reinforcement learning. Electric Power Systems Research, 212, 108560.
  • Talari, S., Khorasany, M., Razzaghi, R., Ketter, W., & Gazafroudi, A. S. (2022). Mechanism design for decentralized peer-to-peer energy trading considering heterogeneous preferences. Sustainable Cities and Society, 104182.
  • Talari, S., Shafie-Khah, M., Osório, G. J., Aghaei, J., & Catalão, J. P. (2018). Stochastic modelling of renewable energy sources from operators’ point-of-view: A survey. Renewable and Sustainable Energy Reviews, 81, 1953–1965.
  • Talari, S., Shafie-Khah, M., Chen, Y., Wei, W., Gaspar, P. D., & Catalao, J. P. (2018). Real-time scheduling of demand response options considering the volatility of wind power generation. IEEE Transactions on Sustainable Energy, 10(4), 1633–1643.
  • Talari, S., Shafie-khah, M., Siano, P., Loia, V., Tommasetti, A., & Catalao, J. P. S. (2017). A review of smart cities based on the internet of things concept. Energies, 10(4).
  • Talari, S., Shafie-Khah, M., Wang, F., Aghaei, J., & Catalao, J. P. (2017). Optimal scheduling of demand response in pre-emptive markets based on stochastic bilevel programming method. IEEE Transactions on Industrial Electronics, 66(2), 1453–1464.
Bachelor
Master

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