| Data-driven smart charging for heterogeneous electric vehicle fleets O Frendo, J Graf, N Gärtner, H Stuckenschmidt Energy and AI 1, 100007, 2020 | 154 | 2020 |
| Improving smart charging prioritization by predicting electric vehicle departure time O Frendo, N Gaertner, H Stuckenschmidt IEEE Transactions on Intelligent Transportation Systems 22 (10), 6646-6653, 2020 | 94 | 2020 |
| Real-time smart charging based on precomputed schedules O Frendo, N Gaertner, H Stuckenschmidt IEEE Transactions on Smart Grid 10 (6), 6921-6932, 2019 | 58 | 2019 |
| Open Source Algorithm for Smart Charging of Electric Vehicle Fleets O Frendo, N Gaertner, H Stuckenschmidt IEEE Transactions on Industrial Informatics 17 (9), 6014-6022, 2020 | 26 | 2020 |
| A Cloud-based Development Environment using HLA and Kubernetes for the Co-simulation of a Corporate Electric Vehicle Fleet K Rehman, O Kipouridis, S Karnouskos, O Frendo, H Dickel, J Lipps, ... 2019 IEEE/SICE International Symposium on System Integration (SII), 47-54, 2019 | 9 | 2019 |
| Charging Strategies and Implications for Corporate Electric Vehicle Fleets O Frendo, S Karnouskos, N Gaertner, O Kipouridis, K Rehman, N Verzano 2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018 | 9 | 2018 |
| Improving smart charging for electric vehicle fleets by integrating battery and prediction models O Frendo | 2 | 2021 |
| Real-Time Planning for Smart Charging of Electric Vehicle Fleets O Frendo, N Gaertner Operations Research Proceedings 2018, 531-537, 2019 | | 2019 |
