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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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Showing 2022Show all

3 papers · 1 filter

cs.LG2022

Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting

Slawek Smyl, Grzegorz Dudek, Paweł Pełka

In this paper, we propose a new short-term load forecasting (STLF) model based on contextually enhanced hybrid and hierarchical architecture combining exponential smoothing (ES) an…

cs.LG2022

Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study

Grzegorz Dudek, Slawek Smyl, Paweł Pełka

This paper compares recurrent neural networks (RNNs) with different types of gated cells for forecasting time series with multiple seasonality. The cells we compare include classic…

cs.LG2022★ 1 cited

ES-dRNN with Dynamic Attention for Short-Term Load Forecasting

Slawek Smyl, Grzegorz Dudek, Paweł Pełka

Short-term load forecasting (STLF) is a challenging problem due to the complex nature of the time series expressing multiple seasonality and varying variance. This paper proposes a…