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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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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…

cs.LG2021

Ensembles of Randomized NNs for Pattern-based Time Series Forecasting

Grzegorz Dudek, Paweł Pełka

In this work, we propose an ensemble forecasting approach based on randomized neural networks. Improved randomized learning streamlines the fitting abilities of individual learners…