A novel Encoder-Decoder structure for Time Series analysis based on Bayesian Uncertainty reduction

In the present work, a novel Convolutional LSTM Encoder-Decoder structure for the implementation of Weather Forecast for the Andean city of Quito is presented. Aside from the above, the Encoder-Decoder structure uses a Walk-Forward validation, an adjustment of the Bayesian posterior predictive distribution and the ADAMW optimizer to carry out the forecast. The aforementioned stages are combined to...