- Electric Vehicle Charging Sessions Generator Based on Clustered Driver Behaviors(2023)
Auteurs: Gilles Van Kriekinge, C. De Cauwer, Nikolaos Sapountzoglou, Thierry Coosemans, Maarten Messagie
Pagina's: 1-14
- Profitability Evaluation of Vehicle-to-Grid-Enabled Frequency Containment Reserve Services into the BusinessModels of the Core Participants of Electric Vehicle Charging Business Ecosystem(2023)
Auteurs: Andrei Goncearuc, Nikolaos Sapountzoglou, Cedric De Cauwer, Thomas Crispeels, Maarten Messagie, Thierry Coosemans
- Vehicle to Grid Impacts on the Total Cost of Ownership for Electric Vehicle Drivers(2021)
Auteurs: Dominik Huber, Quentin De Clerck, C. De Cauwer, Nikolaos Sapountzoglou, Thierry Coosemans, Maarten Messagie
Pagina's: 236
- Business model quantification framework for the core participants of the EV charging market(2021)
Auteurs: Andrei Goncearuc, Nikolaos Sapountzoglou, C. De Cauwer, Maarten Messagie, Thierry Coosemans, Thomas Crispeels
- Peak Shaving and Cost Minimization using Model Predictive Control for Uni- and Bi-directional Charging of Electric Vehicles(2021)
Auteurs: Gilles Van Kriekinge, C. De Cauwer, Nikolaos Sapountzoglou, Thierry Coosemans, Maarten Messagie
Pagina's: 8760-8771
- Day-Ahead Forecast of Electric Vehicle Charging Demand with Deep Neural Networks(2021)
Auteurs: Gilles Van Kriekinge, C. De Cauwer, Nikolaos Sapountzoglou, Thierry Coosemans, Maarten Messagie
- A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids(2020)
Auteurs: Nikolaos Sapountzoglou, J. Lago, Bartholome De Schutter, B. Raison
- Fault diagnosis in low voltage smart distribution grids using gradient boosting trees(2020)
Auteurs: Nikolaos Sapountzoglou, J. Lago, B. Raison