Pawel Pelka

According to our database, Pawel Pelka authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Slawek Smyl, Grzegorz Dudek, Pawel Pelka

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting.

Slawek Smyl, Grzegorz Dudek, Pawel Pelka

Neural Networks, January, 2024

Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand.

Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek

CoRR, 2024

2023

Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables.

Slawek Smyl, Grzegorz Dudek, Pawel Pelka

Proceedings of the Computational Science - ICCS 2023, 2023

2022

A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting.

Grzegorz Dudek, Pawel Pelka, Slawek Smyl

IEEE Trans. Neural Networks Learn. Syst., 2022

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

Grzegorz Dudek, Slawek Smyl, Pawel Pelka

CoRR, 2022

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

Slawek Smyl, Grzegorz Dudek, Pawel Pelka

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Ensembles of Randomized NNs for Pattern-based Time Series Forecasting.

Grzegorz Dudek, Pawel Pelka

CoRR, 2021

Pattern similarity-based machine learning methods for mid-term load forecasting: A comparative study.

Grzegorz Dudek, Pawel Pelka

Appl. Soft Comput., 2021

Pattern-based Forecasting of Monthly Electricity Demand using Support Vector Machine.

Pawel Pelka

Proceedings of the International Joint Conference on Neural Networks, 2021

Ensembles of Randomized Neural Networks for Pattern-Based Time Series Forecasting.

Grzegorz Dudek, Pawel Pelka

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

N-BEATS neural network for mid-term electricity load forecasting.

Boris N. Oreshkin, Grzegorz Dudek, Pawel Pelka

CoRR, 2020

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

Grzegorz Dudek, Pawel Pelka, Slawek Smyl

CoRR, 2020

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

Pawel Pelka, Grzegorz Dudek

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting.

Grzegorz Dudek, Pawel Pelka, Slawek Smyl

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Ensemble Forecasting of Monthly Electricity Demand Using Pattern Similarity-Based Methods.

Pawel Pelka, Grzegorz Dudek

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019

Pattern-Based Forecasting Monthly Electricity Demand Using Multilayer Perceptron.

Pawel Pelka, Grzegorz Dudek

Proceedings of the Artificial Intelligence and Soft Computing, 2019

2017

Neuro-Fuzzy System for Medium-Term Electric Energy Demand Forecasting.

Pawel Pelka, Grzegorz Dudek

Proceedings of the Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017, 2017