7 citations · 19 across the 13 of their papers we have counts for
5 papers · 1 filter
N-BEATS neural network for mid-term electricity load forecasting
Boris N. Oreshkin, Grzegorz Dudek, Paweł Pełka +1
This paper addresses the mid-term electricity load forecasting problem. Solving this problem is necessary for power system operation and planning as well as for negotiating forward…
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…
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…
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods
Paweł Pełka, Grzegorz Dudek
This work presents ensemble forecasting of monthly electricity demand using pattern similarity-based forecasting methods (PSFMs). PSFMs applied in this study include -nearest ne…
Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study
Grzegorz Dudek, Paweł Pełka
Pattern similarity-based methods are widely used in classification and regression problems. Repeated, similar-shaped cycles observed in seasonal time series encourage to apply thes…