Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting

This work presents a Long Short-Term Memory (LSTM) network for forecasting a monthly electricity demand time series with a one-year horizon. The novelty of this work is the use of pattern representation of the seasonal time series as an alternative to decomposition... (read more)

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