Performance Fault Detection in Wind Turbines by Dynamic Reference State Estimation. - Angela Meyer; Bernhard Brodbeck (CoRR, 2020)

Multi-target normal behaviour models for wind farm condition monitoring. - Angela Meyer (CoRR, 2020)

Early Fault Detection with Multi-target Neural Networks. - Angela Meyer (ICCSA (3), 2021)

Vibration Fault Diagnosis in Wind Turbines based on Automated Feature Learning. - Angela Meyer (CoRR, 2022)

Vibration fault detection in wind turbines based on normal behaviour models without feature engineering. - Stefan Jonas; Dimitrios Anagnostos; Bernhard Brodbeck; Angela Meyer (CoRR, 2022)

Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning. - Lorin Jenkel; Stefan Jonas; Angela Meyer (CoRR, 2022)

Satellite-derived solar radiation for intra-hour and intra-day applications: Biases and uncertainties by season and altitude. - Alberto Carpentieri; Doris Folini; Martin Wild; Laurent Vuilleumier; Angela Meyer (CoRR, 2022)

A review of federated learning in renewable energy applications: Potential, challenges, and future directions. - Albin Grataloup; Stefan Jonas; Angela Meyer (CoRR, 2023)

Bias correction of wind power forecasts with SCADA data and continuous learning. - Stefan Jonas; Kevin Winter; Bernhard Brodbeck; Angela Meyer (CoRR, 2024)

Multitarget Normal Behavior Model Based on Heterogeneous Stacked Regressions and Change-Point Detection for Wind Turbine Condition Monitoring. - Francisco Bilendo; Ningyun Lu; Hamed Badihi; Angela Meyer; Umit Cali; Philippe Cambron (IEEE Trans. Ind. Informatics, 2024)

Wind Turbine Condition Monitoring Based on Intra- and Inter-Farm Federated Learning. - Albin Grataloup; Stefan Jonas; Angela Meyer (IEEE Access, 2025)

Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation. - Stefan Jonas; Angela Meyer (CoRR, 2025)