holt-winter

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Simeonedef / Time-Series_Imaging_Forecasting
In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.
time-series-forecasting tensorflow2 conv-lstm holt-winter conv-mlp lstm-architecture series predictions convolutional-layers convolutional-lstm matplotlib deep-learning eth-zurich ethz
Language:Python 17
rjagait / Forest-Fire-Prediction
Regression prediction model performance comparison between ARIMA, SVR and Holt Winter's
arima holt-winter r-programming svr
Language:R 2

Simeonedef / Time-Series_Imaging_Forecasting