Publikationen in Zusammenarbeit mit Forschern von Northumbria University (7)

2023

  1. A two-stage IGDT-stochastic model for optimal scheduling of energy communities with intelligent parking lots

    Energy, Vol. 263

  2. An IoT-enabled hierarchical decentralized framework for multi-energy microgrids market management in the presence of smart prosumers using a deep learning-based forecaster

    Applied Energy, Vol. 333

  3. An interval-based nested optimization framework for deriving flexibility from smart buildings and electric vehicle fleets in the TSO-DSO coordination

    Applied Energy, Vol. 341

  4. Information Gap Decision Theory-based day-ahead scheduling of energy communities with collective hydrogen chain

    International Journal of Hydrogen Energy, Vol. 48, Núm. 20, pp. 7154-7169

  5. Optimal participation of prosumers in energy communities through a novel stochastic-robust day-ahead scheduling model

    International Journal of Electrical Power and Energy Systems, Vol. 147

  6. Two-stage stochastic-based scheduling of multi-energy microgrids with electric and hydrogen vehicles charging stations, considering transactions through pool market and bilateral contracts

    International Journal of Hydrogen Energy, Vol. 48, Núm. 61, pp. 23459-23497

2022

  1. Day-ahead scheduling of 100% isolated communities under uncertainties through a novel stochastic-robust model

    Applied Energy, Vol. 328