Grzegorz Dudek

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 61

Top Topics

Exponential Smoothing

Load Forecasting

Extreme Learning Machine

Top Venues

Appl. Soft Comput.

Publications

Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand. CoRR (2024)
Grzegorz Dudek
Stacking for Probabilistic Short-term Load Forecasting. CoRR (2024)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting. Neural Networks 169 (2024)
Norbert Jankowski, Grzegorz Dudek
Automatic Kernel Construction During the Neural Network Learning by Modified Fast Singular Value Decomposition. ICCS (3) (2024)
Grzegorz Dudek
Stacking for Probabilistic Short-Term Load Forecasting. ICCS (2) (2024)
Grzegorz Dudek, Piotr Fiszeder, Pawel Kobus, Witold Orzeszko
Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study. Appl. Soft Comput. 151 (2024)
Grzegorz Dudek
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality. DSAA (2023)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables. ICCS (1) (2023)
Grzegorz Dudek
Ensemble of Randomized Neural Networks with STD Decomposition for Forecasting Time Series with Complex Seasonality. IWANN (1) (2023)
Grzegorz Dudek
STD: A Seasonal-Trend-Dispersion Decomposition of Time Series. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Grzegorz Dudek, Slawek Smyl, Pawel Pelka
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study. CoRR (2022)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. CoRR (2022)
Grzegorz Dudek, Pawel Pelka, Slawek Smyl
A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Grzegorz Dudek
Boosted Ensemble Learning Based on Randomized NNs for Time Series Forecasting. ICCS (1) (2022)
Grzegorz Dudek
STD: A Seasonal-Trend-Dispersion Decomposition of Time Series. CoRR (2022)
Grzegorz Dudek
Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting. CoRR (2022)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. CoRR (2022)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. IJCNN (2022)
Grzegorz Dudek, Pawel Pelka
Pattern similarity-based machine learning methods for mid-term load forecasting: A comparative study. Appl. Soft Comput. 104 (2021)
Grzegorz Dudek
Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression. IJCNN (2021)
Grzegorz Dudek
Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression. CoRR (2021)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. CoRR (2021)
Grzegorz Dudek, Pawel Pelka
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting. CoRR (2021)
Grzegorz Dudek, Pawel Pelka
Ensembles of Randomized Neural Networks for Pattern-Based Time Series Forecasting. ICONIP (3) (2021)
Grzegorz Dudek
Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions. ICAISC (1) (2021)
Grzegorz Dudek
Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions. CoRR (2021)
Grzegorz Dudek
A constructive approach to data-driven randomized learning for feedforward neural networks. Appl. Soft Comput. 112 (2021)
Grzegorz Dudek
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality. IWANN (2) (2021)
Grzegorz Dudek
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality. CoRR (2021)
Pawel Pelka, Grzegorz Dudek
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting. CoRR (2020)
Pawel Pelka, Grzegorz Dudek
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting. IJCNN (2020)
Boris N. Oreshkin, Grzegorz Dudek, Pawel Pelka
N-BEATS neural network for mid-term electricity load forecasting. CoRR (2020)
Grzegorz Dudek
Are Direct Links Necessary in RVFL NNs for Regression? CoRR (2020)
Grzegorz Dudek, Pawel Pelka, Slawek Smyl
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting. CoRR (2020)
Grzegorz Dudek, Pawel Pelka
Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study. CoRR (2020)
Grzegorz Dudek
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It. ICONIP (5) (2020)
Grzegorz Dudek
Data-Driven Randomized Learning of Feedforward Neural Networks. IJCNN (2020)
Grzegorz Dudek
Multilayer perceptron for short-term load forecasting: from global to local approach. Neural Comput. Appl. 32 (8) (2020)
Grzegorz Dudek
Are Direct Links Necessary in Random Vector Functional Link Networks for Regression? ICAISC (1) (2020)
Pawel Pelka, Grzegorz Dudek
Ensemble Forecasting of Monthly Electricity Demand Using Pattern Similarity-Based Methods. ICAISC (1) (2020)
Pawel Pelka, Grzegorz Dudek
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods. CoRR (2020)
Grzegorz Dudek, Pawel Pelka, Slawek Smyl
3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting. ICONIP (3) (2020)
Grzegorz Dudek
Generating random weights and biases in feedforward neural networks with random hidden nodes. Inf. Sci. 481 (2019)
Grzegorz Dudek
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters. IWANN (1) (2019)
Grzegorz Dudek
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It. CoRR (2019)
Grzegorz Dudek
Sensitivity Analysis of the Neural Networks Randomized Learning. ICAISC (1) (2019)
Pawel Pelka, Grzegorz Dudek
Pattern-Based Forecasting Monthly Electricity Demand Using Multilayer Perceptron. ICAISC (1) (2019)
Grzegorz Dudek
Data-Driven Randomized Learning of Feedforward Neural Networks. CoRR (2019)
Grzegorz Dudek
A Constructive Approach for Data-Driven Randomized Learning of Feedforward Neural Networks. CoRR (2019)
Grzegorz Dudek
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters. CoRR (2019)
Grzegorz Dudek
Artificial Immune System With Local Feature Selection for Short-Term Load Forecasting. IEEE Trans. Evol. Comput. 21 (1) (2017)
Grzegorz Dudek, Sebastian Dudzik
Classification Tree for Material Defect Detection Using Active Thermography. ISAT (1) (2017)
Grzegorz Dudek
A Method of Generating Random Weights and Biases in Feedforward Neural Networks with Random Hidden Nodes. CoRR (2017)
Pawel Pelka, Grzegorz Dudek
Neuro-Fuzzy System for Medium-Term Electric Energy Demand Forecasting. ISAT (1) (2017)
Grzegorz Dudek
Multivariate Regression Tree for Pattern-Based Forecasting Time Series with Multiple Seasonal Cycles. ISAT (1) (2017)
Grzegorz Dudek
Neural networks for pattern-based short-term load forecasting: A comparative study. Neurocomputing 205 (2016)
Grzegorz Dudek
Extreme Learning Machine as a Function Approximator: Initialization of Input Weights and Biases. CORES (2015)
Grzegorz Dudek
Pattern similarity-based methods for short-term load forecasting - Part 1: Principles. Appl. Soft Comput. 37 (2015)
Grzegorz Dudek
Pattern similarity-based methods for short-term load forecasting - Part 2: Models. Appl. Soft Comput. 36 (2015)
Grzegorz Dudek
Extreme learning machine for function approximation - interval problem of input weights and biases. CYBCONF (2015)
Grzegorz Dudek
Generalized Regression Neural Network for Forecasting Time Series with Multiple Seasonal Cycles. IEEE Conf. on Intelligent Systems (2) (2014)
Grzegorz Dudek
Short-Term Load Forecasting Using Random Forests. IEEE Conf. on Intelligent Systems (2) (2014)
Grzegorz Dudek
Tournament Searching Method for Optimization of the Forecasting Model Based on the Nadaraya-Watson Estimator. ICAISC (2) (2014)
Grzegorz Dudek
Artificial Immune System for Forecasting Time Series with Multiple Seasonal Cycles. Trans. Comput. Collect. Intell. 11 (2013)
Grzegorz Dudek
Forecasting Time Series with Multiple Seasonal Cycles Using Neural Networks with Local Learning. ICAISC (1) (2013)
Grzegorz Dudek
Genetic algorithm with binary representation of generating unit start-up and shut-down times for the unit commitment problem. Expert Syst. Appl. 40 (15) (2013)
Grzegorz Dudek
Tournament Feature Selection with Directed Mutations. ICAISC (SIDE-EC) (2012)
Grzegorz Dudek
An Artificial Immune System for Classification With Local Feature Selection. IEEE Trans. Evol. Comput. 16 (6) (2012)
Grzegorz Dudek
Variable Selection in the Kernel Regression Based Short-Term Load Forecasting Model. ICAISC (2) (2012)
Grzegorz Dudek
Artificial Immune Clustering Algorithm to Forecasting Seasonal Time Series. ICCCI (1) (2011)
Grzegorz Dudek
Tournament Searching Method to Feature Selection Problem. ICAISC (2) (2010)
Grzegorz Dudek
Artificial Immune System for Short-Term Electric Load Forecasting. ICAISC (2008)