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Home

Research

Publications

Varia

Polish

Publications

2017

  1. Dudek G.: Artificial Immune System with Local Feature Selection for Short-Term Load Forecasting. IEEE Transactions on Evolutionary Computation, vol. 21, pp. 116-130, 2017.
    http://dx.doi.org/10.1109/TEVC.2016.2586049 | pdf
  2. Dudek G.: Stochastic Optimization Algorithms for Learning GRNN Forecasting Model – Comparative Study. Przegląd Elektrotechniczny (Electrical Review), r. 93(4), pp. 66-69, 2017.
    http://dx.doi.org/10.15199/48.2017.04.17 | pdf
  3. Dudek G., Janicki M.: Nearest Neighbour Model with Weather Inputs for Pattern-based Electricity Demand Forecasting. Przegląd Elektrotechniczny (Electrical Review), r. 93(3), pp.7-10, 2017. 
    http://dx.doi.org/10.15199/48.2017.03.02 | pdf
  4. Dudek G., Pełka P.: Forecasting monthly electricity demand using k nearest neighbor method. Przegląd Elektrotechniczny (Electrical Review), r. 93(4), pp.62-65, 2017 (in Polish). 
    http://dx.doi.org/10.15199/48.2017.04.16  | pdf
  5. Dudek G.: Ensembles of General Regression Neural Networks for Short-Term Electricity Demand Forecasting. Proc. 18th Conf. Electric Power Engineering (EPE'2017), (in print).
  6. Dudek G., Szkutnik J.: Daily Load Curves in Distribution Networks - Analysis of Diversity and Outlier Detection. Proc. 18th Conf. Electric Power Engineering (EPE'2017), (in print).
  7. Dudek G., Pełka P.: Medium-Term Electric Energy Demand Forecasting Using Nadaraya-Watson Estimator. Proc. 18th Conf. Electric Power Engineering (EPE'2017), (in print).
  8. Dudek G.: Multivariate Regression Tree for Pattern-based Forecasting Time Series with Multiple Seasonal Cycles. Proc. 38th Conf. ISAT'2017 (in print).
  9. Dudek G., Dudzik S.: Classification Tree for Material Defect Detection using Active Thermography. Proc. 38th Conf. ISAT'2017 (in print).
  10. Pełka P., Dudek G.: Neuro-Fuzzy System for Medium-term Electric Energy Demand Forecasting. Proc. 38th Conf. ISAT'2017 (in print).
  11. Pełka P., Dudek G.: Prediction of Monthly Electric Energy Consumption using Pattern-Based Fuzzy Nearest Neighbour Regression. Proc. 2nd Conf. Computational Methods in Engineering Science 2017 (in print).

2016

  1. Dudek G.: Neural Networks for Pattern-based Short-Term Load Forecasting: A Comparative Study. Neurocomputing, vol. 2015, pp. 64-74, 2016.
    http://dx.doi.org/10.1016/j.neucom.2016.04.021 | pdf
  2. Dudek G.: Heterogeneous Ensembles for Short-Term Electricity Demand Forecasting. Proc. 17th Conf. Electric Power Engineering (EPE'2016), pp. 1-6, 2016.
    http://dx.doi.org/10.1109/EPE.2016.7521771 | pdf
  3. Opaliński A., Dudek G.: Electricity Demand Prediction by Multi-Agent System with History-based Weighting. Proc. 17th Conf. Electric Power Engineering (EPE'2016), pp. 1-5, 2016.
    http://dx.doi.org/10.1109/EPE.2016.7521810 | pdf
  4. Dudek G.: Multilayer Perceptron for GEFCom2014 Probabilistic Electricity Price Forecasting. International Journal of Forecasting, vol. 32, pp. 1057-1060, 2016.
    http://dx.doi.org/10.1016/j.ijforecast.2015.11.009 | pdf
  5. Dudek G.: Extreme Learning Machine as A Function Approximator: Initialization of Input Weights and Biases. Proc. 9th Int. Conf. Computer Recognition Systems (CORES 2015), pp. 59-69, 2016.
    http://dx.doi.org/10.1007/978-3-319-26227-7_6 | pdf
  6. Dudek G.: Pattern-based Local Linear Regression Models for Short-Term Load Forecasting. Electric Power System Research, vol. 130, pp. 139-147, 2016.
    http://dx.doi.org/10.1016/j.epsr.2015.09.001 | pdf

2015

  1. Dudek G.: Pattern Similarity-based Methods for Short-term Load Forecasting – Part 2: Models. Applied Soft Computing, vol. 36, pp. 422-441, 2015.
    http://dx.doi.org/10.1016/j.asoc.2015.07.035 | pdf
  2. Dudek G.: Pattern Similarity-based Methods for Short-term Load Forecasting – Part 1: Principles. Applied Soft Computing, vol. 37, pp. 277-287, 2015.
    http://dx.doi.org/10.1016/j.asoc.2015.08.040 | pdf
  3. Dudek G.: Short-Term Load Cross-Forecasting using Pattern-Based Neural Models. Proc. 16th Int. Conf. on Electric Power Engineering (EPE'2015), pp. 179-183, 2015.
    http://dx.doi.org/10.1109/EPE.2015.7161178 | pdf
  4. Dudek G.: Extreme Learning Machine for Function Approximation – Interval Problem of Input Weights and Biases. Proc. IEEE 2nd Int. Conf. on Cybernetics (CybConf’2015), pp. 62-67, 2015.
    http://dx.doi.org/10.1109/CYBConf.2015.7175907 | pdf
  5. Popławski T., Dudek G., Łyp J.: Forecasting methods for balancing energy market in Poland. International Journal of Electrical Power and Energy Systems, vol. 65, pp. 94-101, 2015.
    http://dx.doi.org/10.1016/j.ijepes.2014.09.029 | pdf
  6. Dudek G.: Generalized Regression Neural Network for Forecasting Time Series with Multiple Seasonal Cycles. In: Filev D. et al. (eds.): Intelligent Systems’2014, Advances in Intelligent Systems and Computing 323, pp. 839-846, 2015.
    http://dx.doi.org/10.1007/978-3-319-11310-4_73 | pdf
  7. Dudek G.: Short-Term Load Forecasting using Random Forests. In: Filev D. et al. (eds.): Intelligent Systems’2014, Advances in Intelligent Systems and Computing 323, pp. 821-828, 2015.
    http://dx.doi.org/10.1007/978-3-319-11310-4_71 | pdf

2014

  1. Dudek G.: Short-term load forecasting using fuzzy regression trees. Przegląd Elektrotechniczny (Electrical Review), r. 90, nr 4, s. 108-111, 2014 (in Polish). pdf
  2. Dudek G.: Tournament Searching Method for Optimization of the Forecasting Model Based on the Nadaraya-Watson Estimator. In: Rutkowski L. et al. (eds.): Artificial Intelligence and Soft Computing, ICAISC 2014, LNAI 8468, pp. 351-360, 2014. pdf

2013

  1. Dudek G.: Genetic algorithm with binary representation of generating unit start-up and shut-down times for the unit commitment problem. Expert Systems with Applications, vol. 40, issue 15, pp. 6080-6086, 2013. pdf
  2. Dudek G.: Exponential Smoothing Models for Short-Term Load Forecasting. Rynek Energii (Energy Market), special issue no. 1 (VIII), pp. 64-69, 2013 (in Polish). pdf
  3. Dudek G.: Forecasting Time Series with Multiple Seasonal Cycles using Neural Networks with Local Learning. In: Rutkowski L. et al. (eds.): Artificial Intelligence and Soft Computing, ICAISC 2013, LNCS 7894, pp. 52-63, 2013. pdf
  4. Dudek G.: Simulated Annealing Combined with Evolutionary Algorithm to Unit Commitment Problem. In: Rocha C. et al. (eds.): Artificial Intelligence andHybrid Systems, pp. 175-196, iConcept Press 2013. pdf
  5. Dudek G.: Artificial Immune System for Forecasting Time Series with Multiple Seasonal Cycles. Transactions on Computational Collective Intelligence XI, LNCS 8065, pp. 176-197, 2013. pdf

2012

  1. Dudek G.: Similarity-based Machine Learning Methods for Short-Term Load Forecasting. Academic Publishing House EXIT, Warszawa 2012 (habilitation monograph; in Polish).
  2. Dudek G.: Artificial immune system for classification with local feature selection. IEEE Transactions on Evolutionary Computation, vol. 16, issue 6, pp. 847-860, 2012. pdf>
  3. Dudek G.: Approximation of the Hysteresis Loop using Computational Intelligence Methods. Przegląd Elektrotechniczny (Electrical Review), r. 88, no. 12b, pp. 8-11, 2012 (in Polish). pdf
  4. Chwastek K., Dudek G.: Estimation of Parameters for a Hysteresis Model using Evolution Strategy. Przegląd Elektrotechniczny (Electrical Review), r. 88, no. 12b, pp. 5-7, 2012 (in Polish). pdf
  5. Dudek G.: ARIMA Models for Short-Term Load Forecasting. Rynek Energii (Energy Market) 2 (99), pp. 94-98, 2012 (in Polish). pdf
  6. Dudek G.: Optimization of the Forecasting Models Based on the Nearest Neighbor Estimators. Rynek Energii (Energy Market), special issue no. 1 (VII), pp. 118-123, 2012 (in Polish). pdf
  7. Dudek G.: Tournament Feature Selection with Directed Mutations. In: Rutkowski L. et al. (eds.): Swarm and Evolutionary Computation, LNCS 7269, pp. 190-198. pdf
  8. Dudek G.: Variable Selection in the Kernel Regression based Short-Term Load Forecasting Model. In: Rutkowski L. et al. (eds.): Artificial Intelligence and Soft Computing, LNCS 7268, pp. 557-563. pdf

2011

  1. Dudek G.: New Optimization Methods for the Electric Power Unit Commitment Problem. Czestochowa University of Technology Publishing House, Częstochowa 2011 (based on the PhD thesis; in Polish).
  2. Dudek G.: Artificial Immune Clustering Algorithm to Forecasting Seasonal Time Series. In Jędrzejowicz P. et al. (eds): Computational Collective Intelligence. Technologies and Applications, ICCCI 2011, LNCS 6922, pp. 468-477, 2011. pdf
  3. Dudek G.: Artificial Immune System to Short-Term Load Forecasting. Śląskie Wiadomości Elektryczne (Silesian Electric News), no. 6, pp. 12-15, 2011 (in Polish).
  4. Dudek G.: Optimization of the Kernel Regression Model to Short-Term Load Forecasting, Przegląd Elektrotechniczny (Electrical Review), r. 87, no. 9a, pp. 222-225, 2011 (in Polish).
  5. Dudek G.: Forecasting of the Daily Load Curves using Cluster Analysis Methods. Rynek Energii (Energy Market) 2 (93), pp. 73-78, 2011 (in Polish).
  6. Dudek G.: Next day electric load curve forecasting using k-means clustering. Rynek Energii (Energy Market) 1 (92), pp. 143-149, 2011.
  7. Dudek G.: Neuro-fuzzy approach to the next day load curve forecasting. Przegląd Elektrotechniczny (Electrical Review), r. 87, no. 2, pp. 61-64, 2011.

2010

  1. Dudek G.: Short-term load forecasting based on kernel conditional density estimation. Przegląd Elektrotechniczny (Electrical Review), r. 86, no 8, pp. 164-167, 2010. pdf
  2. Dudek G.: Tournament searching method to feature selection problem. In: Rutkowski L. et al. (eds.): Artificial Intelligence and Soft Computing, ICAISC 2010, LNCS 6114, pp. 437-444. pdf
  3. Dudek G.: Forecasting Model based on the Fuzzy Estimators of the Regression Function for Preparing the Daily Coordination Plans. Rynek Energii (Energy Market), special issue no. 1 (V), pp. 150-155, 2010 (in Polish).
  4. Dudek G. Adaptive simulated annealing schedule to the unit commitment problem. Electric Power Systems Research, vol. 80, issue 4, pp. 465-472, 2010. pdf
  5. Dudek G. Similarity-based approaches to short-term load forecasting. In: Zhu J.J., Fung G.P.C. (eds.): Forecasting Models: Methods and Applications. pp. 161-178, iConcept Press 2010. pdf

2009

  1. Dudek G.: Short-Term Load Forecasting using Nearest Neighbour Estimators. Proc. XIV Conf. Present-Day Problems of Power Engineering, vol. 3, pp. 31-39, 2009 (in Polish).
  2. Dudek G.: PWR and BWR Nuclear Power Plant Simulators for Education of the International Atomic Energy Agency. Proc. XIV Conf. Present-Day Problems of Power Engineering, vol.. 1, pp. 269-277, 2009 (in Polish).
  3. Dudek G. A comparison of the neural gas and self organizing map methods for next day load curve forecasting. Przegląd Elektrotechniczny (Electrical Review), r. 85, no. 3, pp. 153-156, 2009.
  4. Dudek G. Similarity Analysis of the Patterns of the Electrical Load Time Series Sequences. Przegląd Elektrotechniczny (Electrical Review), r. 85, no. 3, pp. 149-152, 2009 (in Polish).

2008

  1. Dudek G.: Artificial Immune System for Short-Term Electric Load Forecasting. In: Rutkowski L. et al. (eds.): Artificial Intelligence and Soft Computing, ICAISC 2008, LNCS 5097, pp. 1007-1017, 2008. pdf
  2. Dudek G.: Feature subset selection using genetic algorithm with roulette wheel and tournament mutations. Proc. 4-th PD Forum-Conference on Computer Science, 2008.

2007

  1. Dudek G.: A Genetic Algorithm with a Roulette Wheel Mutation. Informatyka Teoretyczna i Stosowana (Theoretical and Applied Computer Science), r. 7, no. 12, pp. 91-107, 2007
  2. Dudek G.: The Analysis of the Short-Term Power System Load Forecasting Model based on the Fuzzy Clustering. Badania Operacyjne i Decyzje (Operation Research and Decisions), no. 2, pp. 15-34, 2007 (in Polish).
  3. Dudek G.: Genetic Algorithm with Integer Representation of Unit Start-Up And Shut-Down Times for the Unit Commitment Problem. European Transactions on Electrical Power 17, pp. 500-511, 2007. pdf
  4. Dudek G.: Naive Methods for Forecasting the Power System Load and Energy Prices. Proc. XIII Conf. Present-Day Problems of Power Engineering, vol. 3, pp. 43-50, 2007 (in Polish).

2006

  1. Dudek G.: Short-Term Power System Load Forecasting using Fuzzy Clustering Method. Przegląd Elektrotechniczny (Electrical Review), r. 82, no. 9, pp. 26-28, 2006 (in Polish).
  2. Dudek G.: Application of the Hierarchical Clustering Methods to the Daily Electrical Load Profile Forecasting. Przegląd Elektrotechniczny (Electrical Review), r. 82, no. 9, pp. 9-11, 2006 (in Polish).
  3. Dudek G.: Data Preprocessing in Similarity-Based Methods of Short-Term Load Forecasting. Przegląd Elektrotechniczny (Electrical Review), r. 82, no. 9, pp. 15-19, 2006 (in Polish).
  4. Dudek G.: Unit Commitment Using a Hybrid Method Combining Simulated Annealing and Genetic Algorithm. Archiwum Energetyki (Archives of Energetics), vol. XXXV, no. 1, pp. 3- 28, 2006 (in Polish).

2005

  1. Dudek G.: Localizations of the Power Substations using an Evolution Strategy. Proc. Conf. Computer Methods and Systems in Automatics and Electrical Engineering, pp. 107-110, 2005 (in Polish).

2004

  1. Dudek G.: Unit Commitment by Genetic Algorithm with Specialized Search Operators. Electric Power Systems Research 72, pp. 299-308, 2004. pdf
  2. Dudek G.: Selected Methods of Analysis of the Electrical Load Time Series. Proc. Conf. Forecasting in Power Engineering, pp. 116-125, 2004 (in Polish).
  3. Dudek G.: Regression Tree as a Forecasting Tool. Proc. Conf. Forecasting in Power Engineering, pp. 99-105, 2004 (in Polish).
  4. Dudek G.: Complex and Sequential Evolutionary Algorithms for Unit Commitment and Economic Power Dispatch. Proc. 7-th Conf. Evolutionary Computation and Global Optimization, pp. 33-46, 2004.

2003

  1. Dudek G.: Usefulness of GMDH Network for Short-Term Load Forecasting. Proc. Conf. Computer Methods and Systems in Automatics and Electrical Engineering, vol. 1, pp. 136-138, 2003 (in Polish).

2002

  1. Dudek G.: Complex Evolutionary Algorithm to Economic Dispatch. Proc. Conf. Forecasting in Power Engineering, pp. 225-234, 2002 (in Polish).

2001

  1. Dudek G.: Construction of Characteristics of the Start-up Costs of Power Units. Proc. Conf. Computer Methods and Systems in Automatics and Electrical Engineering, vol. 1, pp. 87-89, 2001 (in Polish).
  2. Dudek G.: Weighted Feature Selection in Minimal Distance Classification. Proc. Conf. Computer Methods and Systems in Automatics and Electrical Engineering, vol. 1, pp. 49-51, 2001 (in Polish).
  3. Dudek G.: Variable Representation Methods and Genetic Operators in Evolutionary Algorithm for Unit Commitment. Proc. Conf. Computer Methods and Systems in Automatics and Electrical Engineering, vol. 1, pp. 93-95, 2001 (in Polish).
  4. Dudek G.: Analysis of the Chaos Theory-based Methods for Long-Term Load Forecasting - Schuster method. Proc. Conf. Computer Methods and Systems in Automatics and Electrical Engineering, vol. 1, pp. 90-92, 2001 (in Polish).
  5. Dudek G.: Forecasting of the Daily Load Curves using RBF network. Proc. X Conf. Present-Day Problems of Power Engineering, vol. 3, pp. 93-100, 2001 (in Polish).

2000

  1. Dudek G.: Unit Commitment using Simulated Annealing. Proc. Conf. Forecasting in Power Engineering, pp. 299-309, 2000 (in Polish).
  2. Dudek G.: Short-Term Load Forecasting using RBF Networks. Proc. Conf. Forecasting in Power Engineering, pp. 59-68, 2000 (in Polish).
  3. Dudek G.: Short-Term Load Forecasting using Neural Networks – Architecture Selection and Learning Problems. Proc. 5-th Conf. Evolutionary Computation and Global Optimization, pp. 59-66, 2000 (in Polish).
  4. Dudek G.: Genetic Algorithm as a Unit Commitment Method. Proc. Conf. Evolutionary Computation and Global Optimization, pp. 51- 58, 2000 (in Polish).

1999

  1. Dudek G.: Economic Dispatch in a Power Station using Genetic Algorithm. Proc. Conf. Optimization in Power Engineering, pp. 9-18, 1999 (in Polish).
  2. Dudek G., Engiel J.: A Simple Neural Network Simulator for Education. Proc. Conf. Computer Methods and Systems in Automatics and Electrical Engineering, vol. 2, pp. 379-381, 1999 (in Polish).
  3. Dudek G.: A Genetic Algorithm as a Unit Commitment Tool for Thermal Units. Proc. Conf. Computer Methods and Systems in Automatics and Electrical Engineering, vol. 2, pp. 218-220, 1999 (in Polish).
  4. Dudek G.: Short-Term Load Forecasting Methodology using Neural networks. Proc. Conf. Computer Methods and Systems in Automatics and Electrical Engineering, vol. 2, pp. 214-217, 1999 (in Polish).
  5. Dudek G.: Selection of Diagnostic Parameters using Simulated Annealing. Proc. Conf. Computer Methods and Systems in Automatics and Electrical Engineering, vol. 1, pp. 67-69, 1999 (in Polish).
  6. Dudek G.: Genetic Algorithm for Symptom Selection in Diagnostic Tests. Proc. Conf. Evolutionary Computation and Global Optimization, pp. 99-106, 1999 (in Polish).

1998

  1. Dudek G.: Neural Network Classifiers for Fault Detection of the Power Station Devices. Proc. Conf. Modeling of Power Station Exploitation, pp. 107-118, 1998 (in Polish).

1997

  1. Topór-Kamiński L., Dudek G.: Learning of Layered Neural Networks by Voting Rule. Proc. III Conf. Neural Networks and Their Applications, pp. 131-135, 1997 (in Polish).
  2. Topór-Kamiński L., Dudek G.: A Current Conveyor with Opened Current Mirrors. Proc. III Conf. Neural Networks and Their Applications, pp. 85-87, 1997 (in Polish).
  3. Dudek G.: Hecht-Nielsen Neural Network for Short-Term Load Forecasting. Proc. VIII Conf. Present-Day Problems of Power Engineering, vol. 4, pp. 65-72, 1997 (in Polish).
  4. Dobrzańska I., Dudek G., Seweryn P.: A Method of Analysis of the Economic Situation of Regional Energy Providers. Proc. VIII Conf. Present-Day Problems of Power Engineering, vol. 5, pp. 93-100, 1997 (in Polish).

1995

  1. Dudek G., Seweryn P.: Determination of the Optimal Value of the Contracted Capacity for Minimum Annual Tariff Costs. Proc. Conf. Future of Power Engineering -- Trends, Directions, Methods, pp.205-212, 1995 (in Polish).