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Autoregressive Convolutional RNN for univariate and multivariate time series forecasting implemented with keras and tensorflow.

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Autoregressive-Convolutional-RNN

Autoregressive Convolutional RNN for univariate and multivariate time series forecasting implemented with keras and tensorflow.

The model implemented here was proposed in the paper https://arxiv.org/pdf/1903.02540v1.pdf

Datasets were taken from:

Melbourne: https://www.kaggle.com/paulbrabban/daily-minimum-temperatures-in-melbourne

Sunspots: https://wwwbis.sidc.be/silso/infosnmtot

Solar: https://www.nrel.gov/grid/solar-power-data.html

SML2010: https://archive.ics.uci.edu/ml/datasets/SML2010

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Autoregressive Convolutional RNN for univariate and multivariate time series forecasting implemented with keras and tensorflow.

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