A Multi-Scale Model Based on the Long Short-Term Memory for Day Ahead Hourly Wind Speed Forecasting

Ignacio A. Araya
Ignacio A. Araya

Pattern Recognition Letters, pp. 333-340, 2020.

Cited by: 0|Views2
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Abstract:

•A Multi-scale model is developed for hourly wind speed forecasting 24 steps ahead.•The model uses dense layers to build coarser timescales and LSTMs to process them.•An experiment shows the long term dependencies learning capabilities of our model.•Experiments are on real wind speed datasets from Chile, with data from 2 to 8 years.•Perfo...More

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