Krzysztof Gajowniczek, Ph.D.
Krzysztof Gajowniczek, Ph.D.
Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences
Zweryfikowany adres z sggw.pl - Strona główna
TytułCytowane przezRok
Short term electricity forecasting using individual smart meter data
K Gajowniczek, T Ząbkowski
Procedia Computer Science 35, 589-597, 2014
572014
Electricity forecasting on the individual household level enhanced based on activity patterns
K Gajowniczek, T Ząbkowski
PLoS ONE 12 (4), e0174098, 2017
462017
Data Mining Techniques for Detecting Household Characteristics Based on Smart Meter Data
K Gajowniczek, T Ząbkowski
Energies 8 (7), 7407-7427, 2015
452015
Two-stage electricity demand modelling using machine learning algorithms
K Gajowniczek, T Ząbkowski
Energies 10 (10), 1547-1571, 2017
192017
Comparison of Decision Trees with Rényi and Tsallis Entropy Applied for Imbalanced Churn Dataset
K Gajowniczek, A Orłowski, Z Tomasz
Annals of Computer Science and Information Systems 5, 39 – 44, 2015
172015
Electricity peak demand classification with artificial neural networks
K Gajowniczek, R Nafkha, T Ząbkowski
Proceedings of the 2017 Federated Conference on Computer Science and …, 2017
122017
Grade analysis for energy usage patterns segmentation based on smart meter data
T Ząbkowski, K Gajowniczek, R Szupiluk
2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 234-239, 2015
112015
Short term electricity forecasting based on user behavior using individual smart meter data
K Gajowniczek, T Ząbkowski
Intelligent & Fuzzy Systems, 2015
11*2015
ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ASSESSMENT
K Gajowniczek, T Ząbkowski, R Szupiluk
Metody Ilościowe w Badaniach Ekonomicznych 15 (2), 382-391, 2014
92014
Entropy Based Trees to Support Decision Making for Customer Churn Management
K Gajowniczek, A Orłowski, T Ząbkowski
Acta Physica Polonica A 129 (5), 971-979, 2016
82016
Q-Entropy Approach to Selecting High Income Households.
K Gajowniczek, K Karpio, P Łukasiewicz, A Orłowski, T Ząbkowski
Acta Physica Polonica, A. 127, 2015
72015
Simulation study on clustering approaches for short-term electricity forecasting
K Gajowniczek, T Ząbkowski
Complexity 2018, 2018
62018
Smart metering and data privacy issues
T Ząbkowski, K Gajowniczek
Information Systems in Management 2 (3), 239--249, 2013
62013
Simulation study on the application of the generalized entropy concept in artificial neural networks
K Gajowniczek, A Orłowski, T Ząbkowski
Entropy 20 (4), 249, 2018
52018
Revealing Household Characteristics from Electricity Meter Data with Grade Analysis and Machine Learning Algorithms
K Gajowniczek, T Ząbkowski, M Sodenkamp
Applied Sciences 8 (9), art. 1654, 2018
32018
Do Customers Choose Proper Tariff? Empirical Analysis Based on Polish Data Using Unsupervised Techniques
R Nafkha, K Gajowniczek, T Ząbkowski
Energies 11 (3), 514, 2018
32018
Generalized entropy cost function in neural networks
K Gajowniczek, L Chmielewski, A Orłowski, T Ząbkowski
A. Lintas et al. (Eds.): ICANN 2017, Part I, LNCS 10613, 1-9, 2017
32017
Forecasting of individual electricity usage using smart meter data
T Ząbkowski, K Gajowniczek
Metody Ilościowe w Badaniach Ekonomicznych 14 (2), 289-297, 2013
32013
Problemy modelowania rezygnacji klientów w telefonii komórkowej
K Gajowniczek, T Ząbkowski
Metody Ilościowe w Badaniach Ekonomicznych 13 (3), 65-78, 2012
32012
Grade Analysis for households segmentation based on energy usage patterns
T Ząbkowski, K Gajowniczek
2017 IEEE International Conference on INnovations in Intelligent SysTems and …, 2017
22017
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