APA (7th ed.) Citation

Miele, E. S., Bonacina, F., & Corsini, A. (2022). Deep anomaly detection in horizontal axis wind turbines using Graph Convolutional Autoencoders for Multivariate Time series. Energy and AI, 8, 100145. https://doi.org/10.1016/j.egyai.2022.100145

Chicago Style (17th ed.) Citation

Miele, Eric Stefan, Fabrizio Bonacina, and Alessandro Corsini. "Deep Anomaly Detection in Horizontal Axis Wind Turbines Using Graph Convolutional Autoencoders for Multivariate Time Series." Energy and AI 8 (2022): 100145. https://doi.org/10.1016/j.egyai.2022.100145.

MLA (9th ed.) Citation

Miele, Eric Stefan, et al. "Deep Anomaly Detection in Horizontal Axis Wind Turbines Using Graph Convolutional Autoencoders for Multivariate Time Series." Energy and AI, vol. 8, 2022, p. 100145, https://doi.org/10.1016/j.egyai.2022.100145.