Recurrent neural network based user classification for smart grids K Tornai, A Oláh, R Drenyovszki, L Kovács, I Pinté, J Levendovszky 2017 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2017 | 23 | 2017 |
Classification for consumption data in smart grid based on forecasting time series K Tornai, L Kovács, A Oláh, R Drenyovszki, I Pintér, D Tisza, ... Electric Power Systems Research 141, 191-201, 2016 | 23 | 2016 |
Probability maximization by inner approximation CI Fábián, E Csizmás, R Drenyovszki, W van Ackooij, T Vajnai, L Kovács, ... Acta Polytechnica Hungarica 15 (1), 105-125, 2018 | 19 | 2018 |
A randomized method for handling a difficult function in a convex optimization problem, motivated by probabilistic programming CI Fábián, E Csizmás, R Drenyovszki, T Vajnai, L Kovács, T Szántai Annals of Operations Research, 1-32, 2019 | 9 | 2019 |
A probabilistic demand side management approach by consumption admission control L Kovacs, R Drenyovszki, A Olah, J Levendovszky, K Tornai, I Pinter arXiv preprint arXiv:1608.00546, 2016 | 7 | 2016 |
Power system reliability assessment based on Large Deviation Theory bounds R Drenyovszki, L Kovács, I Pintér, A Oláh, K Tornai, J Levendovszky 2016 IEEE International Energy Conference (ENERGYCON), 1-6, 2016 | 6 | 2016 |
A probabilistic approach for admission control of smart appliances in Smart Grids L Kovacs, J Levendovszky, A Olah, R Drenyovszki, D Tisza, K Tornai, ... Proceedings of 5th International Scientific and Expert Conference TEAM, 18-21, 2013 | 6 | 2013 |
Application of jensen-shannon divergence in smart grids I Pinter, L Kovacs, A Olah, R Drenyovszki, D Tisza, K Tornai Proceedings of 5th Scientific and Expert Conference TEAM 2013, 287-290, 2013 | 5 | 2013 |
Novel consumer classification scheme for smart grids K Tornai, L Kovács, A Oláh, R Drenyovszki, I Pinterm, D Tisza, ... Smart SysTech 2014; European Conference on Smart Objects, Systems and …, 2014 | 4 | 2014 |
Automatic segmentation of electricity consumption data series with Jensen-Shannon divergence I Pintér, L Kovács, A Oláh, R Drenyovszki, D Tisza, K Tornai 2014 IEEE International Energy Conference (ENERGYCON), 828-832, 2014 | 3 | 2014 |
Bottom-up modeling of domestic appliances with Markov chains and semi-Markov processes R Drenyovszki, L Kovács, K Tornai, A Oláh, I Pintér Kybernetika 53 (6), 1100-1117, 2017 | 2 | 2017 |
Deep learning based consumer classification for smart grid K Tornai, A Oláh, R Drenyovszki, L Kovács, I Pintér, J Levendovszky Smart Grid Inspired Future Technologies: Second EAI International Conference …, 2017 | 2 | 2017 |
Jensen-Shannon divergence based algorithm for adaptive segmentation and labelling of household's electricity power consumption data series I Pintér, L Kovács, R Drenyovszi, A Oláh, K Tornai 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 1 | 2016 |
Random Descent Steps in a Probability Maximization Scheme E Csizmás, R Drenyovszki, T Szántai, CI Fábián Journal of Optimization Theory and Applications 205 (1), 13, 2025 | | 2025 |
Oktatási céleszköz fejlesztése és annak hatása a hallgatói tanulmányi eredményességre= Measuring the impact of a purpose-built educational tool on students' academic performance M Kovács, R Drenyovszki GRADUS 11 (3), 2024 | | 2024 |
Solving a classification problem using Transfer learning on small image datasets R Drenyovszki GRADUS 11 (1), 1-9, 2024 | | 2024 |
Személyek detektálása hőmátrix szenzorral és hierarchikus klaszterezéssel R Drenyovszki, K Zsupányi GRADUS 10 (2), 1-8, 2023 | | 2023 |
Jégeső intenzitásbecslése peremes korong szimulációja alapján= Estimation of hailstorm intensity based on simulation of a rimmed disc N Csík, K Zsupányi, R Drenyovszki GRADUS 8 (3), 139-146, 2021 | | 2021 |
Valószínűségi eljárások alkalmazása a Smart Grid hálózatok hatékonyságának növelésére R Drenyovszki Pannon Egyetem, 2021 | | 2021 |
Valószínűség maximalizálás= Probability maximization E Csizmás, R Drenyovszki, T Vajnai, L Kovács, C Fábián GRADUS 5 (1), 128-133, 2017 | | 2017 |