| An artificial neural network‐based condition monitoring method for wind turbines, with application to the monitoring of the gearbox P Bangalore, S Letzgus, D Karlsson, M Patriksson Wind Energy 20 (8), 1421-1438, 2017 | 141 | 2017 |
| Toward explainable artificial intelligence for regression models: A methodological perspective S Letzgus, P Wagner, J Lederer, W Samek, KR Müller, G Montavon IEEE Signal Processing Magazine 39 (4), 40-58, 2022 | 88 | 2022 |
| A sequential pressure-based algorithm for data-driven leakage identification and model-based localization in water distribution networks I Daniel, J Pesantez, S Letzgus, MA Khaksar Fasaee, F Alghamdi, ... Journal of Water Resources Planning and Management 148 (6), 04022025, 2022 | 31* | 2022 |
| Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour models S Letzgus Wind Energy Science Discussions 2020, 1-29, 2020 | 19 | 2020 |
| A GIS-Based planning approach for urban power and natural gas distribution grids with different heat pump scenarios JM Kisse, M Braun, S Letzgus, TM Kneiske Energies 13 (16), 4052, 2020 | 14 | 2020 |
| Marktdesign, Regulierung und Gesamteffizienz von Flexibilität im Stromsystem–Bestandsaufnahme und Herausforderungen H Kondziella, S Graupner, T Bruckner, H Doderer, S Schäfer-Stradowsky, ... Accessed: Dec 11, 2020, 2019 | 9 | 2019 |
| 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 |
| A high-resolution pressure-driven method for leakage identification and localization in water distribution networks. Zenodo I Daniel, J Pesantez, S Letzgus, MA Khaksar Fasaee, F Alghamdi, ... | 5 | 2020 |
| SCADA-data analysis for condition monitoring of wind turbines S Letzgus | 5 | 2015 |
| Marktdesign, Regulierung und Gesamteffizienz von Flexibilität im Stromsystem–Bestandsaufnahme und Herausforderungen [WindNODEArbeitspaket 5 „Marktdesign und Regulierung–neue … H Kondziella, S Graupner, T Bruckner, H Doderer, S Schäfer-Stradowsky, ... | 4 | 2019 |
| An explainable AI framework for robust and transparent data-driven wind turbine power curve models S Letzgus, KR Müller Energy and AI 15, 100328, 2024 | 3 | 2024 |
| Frequency Stabilizer in Transmission Systems E Spahic, S Letzgus, G Beck, G Kuhn, V Hild CIGRE-IEC 2016 Colloquium on EHV and UHV (AC and DC), Montreal, Canada 1, 2.2, 2016 | 3 | 2016 |
| Towards transparent ANN wind turbine power curve models. S Letzgus arXiv preprint arXiv:2210.12104, 2022 | 1 | 2022 |
| 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 |
| XpertAI: uncovering model strategies for sub-manifolds S Letzgus, KR Müller, G Montavon arXiv preprint arXiv:2403.07486, 2024 | | 2024 |
| Predictive Control of a Domestic Appliance S Braune, Thomas and Schliecker, Gudrun and Letzgus WO Patent EP2,023,063,252 W, 2023 | | 2023 |
| XAI for transparent wind turbine power curve models S Letzgus arXiv preprint arXiv:2210.12104, 2022 | | 2022 |
| Method for Determining Foam During the Treatment of Laundry Articles and Washing Machine for Carrying Out the Method S Letzgus, E Opitz, A Rischke, G Schliecker, P Schrader EP Patent EP3988697A1, 2022 | | 2022 |
| Integrated Intelligence Assessment For Energy Systems S Letzgus, C Koch, G Erdmann Transforming Energy Markets, 41st IAEE International Conference, Jun 10-13, 2018, 2018 | | 2018 |
| Analysis of SCADA data for early fault detection with application to the asset management of wind turbines P BANGALORE, S LETZGUS, M PATRIKSSON, LB TJERNBERG CIGRE Paris, 2016 | | 2016 |
