| Pattern-based local linear regression models for short-term load forecasting G Dudek Electric Power Systems Research 130, 139-147, 2016 | 327 | 2016 |
| Short-term load forecasting using random forests G Dudek Intelligent Systems' 2014: Proceedings of the 7th IEEE International …, 2015 | 272 | 2015 |
| N-BEATS neural network for mid-term electricity load forecasting BN Oreshkin, G Dudek, P Pełka, E Turkina Applied Energy 293, 116918, 2021 | 174 | 2021 |
| A hybrid residual dilated LSTM and exponential smoothing model for midterm electric load forecasting G Dudek, P Pełka, S Smyl IEEE Transactions on Neural Networks and Learning Systems 33 (7), 2879-2891, 2021 | 165 | 2021 |
| Neural networks for pattern-based short-term load forecasting: A comparative study G Dudek Neurocomputing 205, 64-74, 2016 | 119 | 2016 |
| Multilayer perceptron for GEFCom2014 probabilistic electricity price forecasting G Dudek International Journal of Forecasting 32 (3), 1057-1060, 2016 | 106 | 2016 |
| An artificial immune system for classification with local feature selection G Dudek IEEE Transactions on Evolutionary Computation 16 (6), 847-860, 2012 | 96 | 2012 |
| Unit commitment by genetic algorithm with specialized search operators G Dudek Electric Power Systems Research 72 (3), 299-308, 2004 | 88 | 2004 |
| Multilayer perceptron for short-term load forecasting: from global to local approach G Dudek Neural Computing and Applications 32 (8), 3695-3707, 2020 | 76 | 2020 |
| Pattern similarity-based methods for short-term load forecasting–Part 1: Principles G Dudek Applied Soft Computing 37, 277-287, 2015 | 69 | 2015 |
| Artificial immune system with local feature selection for short-term load forecasting G Dudek IEEE Transactions on Evolutionary Computation 21 (1), 116-130, 2016 | 58 | 2016 |
| Adaptive simulated annealing schedule to the unit commitment problem G Dudek Electric Power Systems Research 80 (4), 465-472, 2010 | 58 | 2010 |
| Pattern similarity-based methods for short-term load forecasting–Part 2: Models G Dudek Applied Soft Computing 36, 422-441, 2015 | 53 | 2015 |
| Forecasting time series with multiple seasonal cycles using neural networks with local learning G Dudek Artificial Intelligence and Soft Computing: 12th International Conference …, 2013 | 53 | 2013 |
| Pattern similarity-based machine learning methods for mid-term load forecasting: A comparative study G Dudek, P Pełka Applied Soft Computing 104, 107223, 2021 | 52 | 2021 |
| Generating random weights and biases in feedforward neural networks with random hidden nodes G Dudek Information sciences 481, 33-56, 2019 | 50 | 2019 |
| A comprehensive study of random forest for short-term load forecasting G Dudek Energies 15 (20), 7547, 2022 | 49 | 2022 |
| Artificial immune system for short-term electric load forecasting G Dudek Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International …, 2008 | 34 | 2008 |
| Analysis of smart meter data for electricity consumers G Dudek, A Gawlak, M Kornatka, J Szkutnik 2018 15th International Conference on the European Energy Market (EEM), 1-5, 2018 | 32 | 2018 |
| Genetic algorithm with binary representation of generating unit start-up and shut-down times for the unit commitment problem G Dudek Expert Systems with Applications 40 (15), 6080-6086, 2013 | 31 | 2013 |