Prohlížení dle autora "Zjavka, Ladislav"
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"Aladin" weather model local revisions using the differential polynomial neural network
Zjavka, Ladislav (Neural Network World. 2014, vol. 24, issue 2, p. 143-156.) -
Constructing general partial differential equations using polynomial and neural networks
Zjavka, Ladislav; Pedrycz, Witold (Neural Networks. 2016, vol. 73, p. 58-69.) -
Constructing ordinary sum differential equations using polynomial networks
Zjavka, Ladislav; Snášel, Václav (Information Sciences. 2014, vol. 281, p. 462-477.) -
Direct wind power forecasting using a polynomial decomposition of the general differential equation
Zjavka, Ladislav; Mišák, Stanislav (IEEE Transactions on Sustainable Energy. 2018, vol. 9, issue 4, p. 1529-1539.) -
Local improvements in numerical forecasts of relative humidity using polynomial solutions of general differential equations
Zjavka, Ladislav; Sokol, Zbyněk (Quarterly Journal of The Royal Meteorological Society. 2018, vol. 144, issue 712, p. 780-791.) -
Modelling the photovoltaic output power using the differential polynomial network and evolutionary fuzzy rules
Zjavka, Ladislav; Krömer, Pavel; Mišák, Stanislav; Snášel, Václav (Mathematical Modelling and Analysis. 2017, vol. 22, issue 1, p. 78-94.) -
Multi-site post-processing of numerical forecasts using a polynomial network substitution for the general differential equation based on operational calculus
Zjavka, Ladislav (Applied Soft Computing. 2018, vol. 73, p. 192-202.) -
Numerical weather prediction revisions using the locally trained differential polynomial network
Zjavka, Ladislav (Expert Systems with Applications. 2016, vol. 44, p. 265-274.) -
Photo-voltaic power daily predictions using expanding PDE sum models of polynomial networks based on Operational Calculus
Zjavka, Ladislav (Engineering Applications of Artificial Intelligence. 2020, vol. 89, art. no. UNSP 103409.) -
Photo-voltaic power intra-day and daily statistical predictions using sum models composed from L-transformed PDE components in nodes of step by step developed polynomial neural networks
Zjavka, Ladislav (Electrical Engineering. 2020.) -
Photovoltaic energy all-day and intra-day forecasting using node by node developed polynomial networks forming PDE models based on the L-transformation
Zjavka, Ladislav (Energies. 2021, vol. 14, issue 22, art. no. 7581.) -
Photovoltaic power intra- and day-ahead predictions with differential learning producing PDE-modular models based on the node L-transform derivatives
Zjavka, Ladislav (Environmental Progress & Sustainable Energy. 2022, art. no. e13977.) -
Power quality 24-hour prediction using differential, deep and statistics machine learning based on weather data in an off-grid
Zjavka, Ladislav (Journal of the Franklin Institute. 2023, vol. 360, issue 17, p. 13712-13736.) -
Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models
Zjavka, Ladislav (Scientific Reports. 2022, vol. 12, issue 1, art. no. 19025.) -
Power quality estimations for unknown binary combinations of electrical appliances based on the step-by-step increasing model complexity
Zjavka, Ladislav (Cybernetics and Systems. 2022.) -
Power quality multi-step predictions with the gradually increasing selected input parameters using machine-learning and regression
Zjavka, Ladislav (Sustainable Energy, Grids & Networks. 2021, vol. 26, art. no. 100442.) -
Power quality statistical predictions based on differential, deep and probabilistic learning using off-grid and meteo data in 24-hour horizon
Zjavka, Ladislav (International Journal of Energy Research. 2021.) -
PV power intra-day predictions using PDE models of polynomial networks based on operational calculus
Zjavka, Ladislav (IET Renewable Power Generation. 2020, vol. 14, issue 8, special issue, p. 1405-1412.) -
Short-term power demand forecasting using the differential polynomial neural network
Zjavka, Ladislav (International Journal of Computational Intelligence Systems. 2015, vol. 8, issue 2, p. 297-306.) -
Short-term power load forecasting with ordinary differential equation substitutions of polynomial networks
Zjavka, Ladislav; Snášel, Václav (Electric Power Systems Research. 2016, vol. 137, p. 113-123.)