| Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures LØ Bentsen, ND Warakagoda, R Stenbro, P Engelstad Applied Energy 333, 120565, 2023 | 47 | 2023 |
| Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses LØ Bentsen, ND Warakagoda, R Stenbro, P Engelstad Journal of Physics: Conference Series 2265, 022035, 2022 | 7 | 2022 |
| Probabilistic Wind Park power prediction using Bayesian deep learning and generative adversarial networks LØ Bentsen, ND Warakagoda, R Stenbro, P Engelstad Journal of Physics: Conference Series 2362 (1), 012005, 2022 | 4 | 2022 |
| Relative evaluation of probabilistic methods for spatio-temporal wind forecasting LØ Bentsen, ND Warakagoda, R Stenbro, P Engelstad Journal of Cleaner Production 434, 139944, 2024 | 1 | 2024 |
| Transformer and LSTM Models for Automatic Counterpoint Generation using Raw Audio LØ Bentsen, R Simionato, B Wallace, M Krzyzaniak Proceedings of the 19th Sound and Music Computing Conference, 2022 | 1 | 2022 |
| A Unified Graph Formulation for Spatio-Temporal Wind Forecasting LØ Bentsen, ND Warakagoda, R Stenbro, P Engelstad Energies 16 (20), 7179, 2023 | | 2023 |
Roy StenbroSenior Scientist, Institute for Energy Technology (IFE)Verified email at ife.no
