| Wind speed forecast correction models using polynomial neural networks L Zjavka Renewable Energy 83, 998-1006, 2015 | 107 | 2015 |
| Direct wind power forecasting using a polynomial decomposition of the general differential equation L Zjavka, S Mišák IEEE Transactions on Sustainable Energy 9 (4), 1529-1539, 2018 | 43 | 2018 |
| Short-term power load forecasting with ordinary differential equation substitutions of polynomial networks L Zjavka, V Snášel Electric Power Systems Research 137, 113-123, 2016 | 41 | 2016 |
| Numerical weather prediction revisions using the locally trained differential polynomial network L Zjavka Expert Systems with Applications 44, 265-274, 2016 | 32 | 2016 |
| Constructing general partial differential equations using polynomial and neural networks L Zjavka, W Pedrycz Neural Networks 73, 58-69, 2016 | 32 | 2016 |
| Constructing ordinary sum differential equations using polynomial networks L Zjavka, V Snášel Information Sciences 281, 462-477, 2014 | 25 | 2014 |
| Recognition of generalized patterns by a differential polynomial neural network L Zjavka Engineering, Technology & Applied Science Research 2 (1), 167-172, 2012 | 22 | 2012 |
| PV power intra‐day predictions using PDE models of polynomial networks based on operational calculus L Zjavka IET Renewable Power Generation 14 (8), 1405-1412, 2020 | 16 | 2020 |
| Photo-voltaic power daily predictions using expanding pde sum models of polynomial networks based on operational calculus L Zjavka Engineering Applications of Artificial Intelligence 89, 103409, 2020 | 16 | 2020 |
| Modelling the Photovoltaic Output Power using the Differential Polynomial Network and Evolutionary Fuzzy Rules L Zjavka, P Krömer, S Mišák, V Snášel Mathematical Modelling and Analysis 22 (1), 78-94, 2017 | 15 | 2017 |
| Power quality statistical predictions based on differential, deep and probabilistic learning using off‐grid and meteo data in 24‐hour horizon L Zjavka International Journal of Energy Research 46 (8), 10182-10196, 2022 | 12 | 2022 |
| Power quality multi-step predictions with the gradually increasing selected input parameters using machine-learning and regression L Zjavka Sustainable Energy, Grids and Networks 26, 100442, 2021 | 11 | 2021 |
| Multi-site post-processing of numerical forecasts using a polynomial network substitution for the general differential equation based on operational calculus L Zjavka Applied Soft Computing 73, 192-202, 2018 | 11 | 2018 |
| Short-term power demand forecasting using the differential polynomial neural network L Zjavka International Journal of Computational Intelligence Systems 8 (2), 297-306, 2015 | 11 | 2015 |
| Local improvements in numerical forecasts of relative humidity using polynomial solutions of general differential equations L Zjavka, Z Sokol Quarterly Journal of the Royal Meteorological Society 144 (712), 780-791, 2018 | 10 | 2018 |
| Irradiance prediction using echo state queueing networks and differential polynomial neural networks S Basterrech, L Zjavka, L Prokop, S Mišák 2013 13th International Conference on Intellient Systems Design and …, 2013 | 9 | 2013 |
| Generalization of patterns by identification with polynomial neural network L Zjavka Journal of Electrical Engineering 61 (2), 120-124, 2010 | 9 | 2010 |
| Construction and adjustment of differential polynomial neural network L Zjavka Journal of Engineering and Computer Innovations 2 (3), 40-50, 2011 | 8 | 2011 |
| Differential polynomial neural network L Zjavka Journal of Artificial Intelligence 4 (1), 89-99, 2011 | 8 | 2011 |
| Failure and power utilization system models of differential equations by polynomial neural networks L Zjavka, A Abraham 13th International Conference on Hybrid Intelligent Systems (HIS 2013), 273-278, 2013 | 5 | 2013 |
Vaclav SnaselVSB -Technical University of OstravaVerified email at vsb.cz
