| The influence of different wake profiles on losses in a low pressure turbine cascade F Hammer, ND Sandham, RD Sandberg International Journal of Turbomachinery, Propulsion and Power 3 (2), 10, 2018 | 19 | 2018 |
| Data-Driven wind turbine performance assessment and quantification using SCADA data and field measurements Y Ding, S Barber, F Hammer Frontiers in Energy Research 10, 1050342, 2022 | 10 | 2022 |
| Improving site-dependent wind turbine performance prediction accuracy using machine learning S Barber, F Hammer, A Tica ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2022 | 9 | 2022 |
| Large eddy simulations of a low-pressure turbine: roughness modeling and the effects on boundary layer transition and losses F Hammer, ND Sandham, RD Sandberg Turbo Expo: Power for Land, Sea, and Air 51005, V02BT41A014, 2018 | 6 | 2018 |
| Enabling co-innovation for a successful digital transformation in wind energy using a new digital ecosystem and a fault detection case study S Barber, LAM Lima, Y Sakagami, J Quick, E Latiffianti, Y Liu, R Ferrari, ... Energies 15 (15), 5638, 2022 | 5 | 2022 |
| Graph machine learning for predicting wake interaction losses based on SCADA data F Hammer, N Helbig, T Losinger, S Barber Journal of Physics: Conference Series 2505 (1), 012047, 2023 | 3 | 2023 |
| Can data sharing really provide added value? Practical data sharing recommendations for the wind energy sector S Barber, F Hammer, C Henderson Journal of Physics: Conference Series 2507 (1), 012003, 2023 | 3 | 2023 |
| Transferability of site-dependent wind turbine performance predictions using machine learning F Hammer, S Barber Journal of Physics: Conference Series 2151 (1), 012006, 2022 | 2 | 2022 |
| Comparison Metrics Microscale Simulation Challenge for Wind Resource Assessment F Hammer, S Barber, S Remmler, F Bernardoni, K Venkatraman, ... Wind Energy Science Discussions 2023, 1-27, 2023 | 1 | 2023 |
| Enabling Co-Innovation for A Successful Digital Transformation in Wind Energy Using the WeDoWind Ecosystem and A Fault Detection Case Study S Barber, L Lima, Y Sakagami, J Quick, E Latiffianti, Y Liu, R Ferrari, ... Preprints, 2022 | 1 | 2022 |
| Towards efficient methods for estimating spatio-temporal wind energy yields in mountainous regions N Helbig, F Hammer, R Bischoff, M Lehning, S Barber EGU24, 2024 | | 2024 |
| Characterizing the impact of spatial scales on near-surface wind speed and wind power generation in a mountainous environment N Helbig, F Hammer, S Barber EGU General Assembly Conference Abstracts, EGU-9025, 2023 | | 2023 |
| The effect of roughness and inflow unsteadiness on turbine flows F Hammer University of Southampton, 2019 | | 2019 |
