Unlocking the Potential of Wind Energy With Machine Learning-Based Avian Detection: A Call to Action

Principato, M.; Hasselwander, L.; Stangner, M.; Buettner, R. (2023). Unlocking the Potential of Wind Energy With Machine Learning-Based Avian Detection: A Call to Action. IEEE Access, 11, 23. https://doi.org/10.1109/ACCESS.2023.3287861

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Abstract

This systematic literature review explores the potential of machine learning-based approaches to detect and prevent bird collisions with wind turbines. It provides a comprehensive review of the current approaches and identifies critical gaps in the literature, which may serve as the groundwork for future research and development in this area. As a result, this work highlights the importance of inter- and transdisciplinary cooperations.