| A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications KN Genikomsakis, G Mitrentsis Transportation Research Part D: Transport and Environment 50, 98-118, 2017 | 155 | 2017 |
| An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting G Mitrentsis, H Lens Applied Energy 309, 118473, 2022 | 85 | 2022 |
| Data-driven dynamic models of active distribution networks using unsupervised learning techniques on field measurements G Mitrentsis, H Lens IEEE Transactions on Smart Grid 12 (4), 2952-2965, 2021 | 34 | 2021 |
| A dynamic active distribution network equivalent for enhancing the generalization capability of the exponential recovery model in stability studies G Mitrentsis, H Lens IEEE Transactions on Power Systems 36 (3), 2709-2712, 2021 | 18 | 2021 |
| Probabilistic dynamic model of active distribution networks using Gaussian processes G Mitrentsis, H Lens 2021 IEEE Madrid PowerTech, 1-6, 2021 | 5 | 2021 |
| A Gaussian process framework for the probabilistic dynamic modeling of active distribution networks using exogenous variables G Mitrentsis, H Lens Electric Power Systems Research 211, 108403, 2022 | 4 | 2022 |
| Unsupervised learning method for clustering dynamic behavior in the context of power systems G Mitrentsis, H Lens IFAC-PapersOnLine 53 (2), 13024-13029, 2020 | 4 | 2020 |
| Energy consumption model of electric scooter for routing applications: Experimental validation KN Genikomsakis, G Mitrentsis, D Savvidis, CS Ioakimidis 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 3 | 2017 |
| Open Source Tool for Probabilistic Short-Term PV and Wind Power Forecasting G Mitrentsis, ML Liu, H Lens 2022 17th International Conference on Probabilistic Methods Applied to Power …, 2022 | 2 | 2022 |
| Dynamic modeling of active distribution networks using cluster analysis of field measurement data G Mitrentsis, H Lens NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage …, 2020 | 1 | 2020 |
| Data-driven dynamic modeling of active distribution networks using artificial intelligence techniques G Mitrentsis | | 2023 |
| Measurement data based identification of the contribution of distribution networks to the self-regulating effect H Lens, G Mitrentsis, H Abele, J Lehner, C Schoell Power Supply Transformation-Grid Regulation and System Stability; 14. ETG …, 2022 | | 2022 |
| Enabling Energy Transition: An Interpretable AI Model for Probabilistic Solar Power Forecasting DIG Mitrentsis, H Lens | | |
Hendrik LensProfessor for Power Plant and Grid Systems, University of Stuttgart在 ifk.uni-stuttgart.de 的电子邮件经过验证
Hendrik LensProfessor for Power Plant and Grid Systems, University of Stuttgart在 ifk.uni-stuttgart.de 的电子邮件经过验证