Pawel Pelka

Orcid: 0000-0002-2609-811X

According to our database1, Pawel Pelka authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting.
Neural Networks, January, 2024

2023
Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting.
IEEE Trans. Neural Networks Learn. Syst., 2022

Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study.
CoRR, 2022

ES-dRNN with Dynamic Attention for Short-Term Load Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting.
CoRR, 2021

Ensembles of Randomized NNs for Pattern-based Time Series Forecasting.
CoRR, 2021

Pattern similarity-based machine learning methods for mid-term load forecasting: A comparative study.
Appl. Soft Comput., 2021

Pattern-based Forecasting of Monthly Electricity Demand using Support Vector Machine.
Proceedings of the International Joint Conference on Neural Networks, 2021

Ensembles of Randomized Neural Networks for Pattern-Based Time Series Forecasting.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
N-BEATS neural network for mid-term electricity load forecasting.
CoRR, 2020

A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting.
CoRR, 2020

Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Ensemble Forecasting of Monthly Electricity Demand Using Pattern Similarity-Based Methods.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019
Pattern-Based Forecasting Monthly Electricity Demand Using Multilayer Perceptron.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2017
Neuro-Fuzzy System for Medium-Term Electric Energy Demand Forecasting.
Proceedings of the Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017, 2017


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