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

7 citations · 7 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 7 cited

ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting

Slawek Smyl, Grzegorz Dudek, Paweł Pełka

Short-term load forecasting (STLF) is challenging due to complex time series (TS) which express three seasonal patterns and a nonlinear trend. This paper proposes a novel hybrid hi…