VAE

Relational VAE: A Continuous Latent Variable Model for Graph Structured Data

Motivated by the need for edge uncertainty in modeling wind farm wakes, a graph latent variable model that allows for full graph conditioning and graph latent variables is proposed.

Charilaos Mylonas, Imad Abdallah, Eleni Chatzi

Relational VAE: A Continuous Latent Variable Model for Graph Structured Data

Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data

Using conditional latent variable models for wind farm monitoring data.

Charilaos Mylonas, Imad Abdallah, Eleni Chatzi

Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data

Deep unsupervised learning for condition monitoring and prediction of high dimensional data with application on windfarm SCADA data

Using conditional latent variable models for wind farm monitoring data.

Charilaos Mylonas, Imad Abdallah, Eleni Chatzi

Deep unsupervised learning for condition monitoring and prediction of high dimensional data with application on windfarm SCADA data