Abstract: This paper proposes a novel two-stage method for imputing missing SCADA data of wind turbines with high accuracy based on deep nonparametric models, sparse autoencoders (SAE), and a gradient ...

Abstract: Despite a great success in learning representation for image data, it is challenging to learn the stochastic latent features from natural language based on variational inference. The ...