activity
20202026
most citedES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting

7 citations · 19 across the 13 of their papers we have counts for

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eess.SP2020★ 4 cited

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

Paweł Pełka, Grzegorz Dudek

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…

eess.SP2020★ 1 cited

A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting

Grzegorz Dudek, Paweł Pełka, Slawek Smyl

This work presents a hybrid and hierarchical deep learning model for mid-term load forecasting. The model combines exponential smoothing (ETS), advanced Long Short-Term Memory (LST…