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Found 2 papers, 2 papers with code
A Spatiotemporal Deep Neural Network for Fine-Grained Multi-Horizon Wind Prediction
In this work, we propose a novel data-driven model, Multi-Horizon SpatioTemporal Network (MHSTN), generally for accurate and efficient fine-grained wind prediction.
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering
Nonetheless, to our best knowledge, it remains unclear how effectively GANs can serve as a general-purpose solution to learn representations for time series recognition, i. e., classification and clustering.
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