Ladislav Zjavka

Orcid: 0000-0002-2881-4319

According to our database1, Ladislav Zjavka authored at least 25 papers between 2013 and 2023.

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Bibliography

2023
Power quality 24-hour prediction using differential, deep and statistics machine learning based on weather data in an off-grid.
J. Frankl. Inst., November, 2023

Intra- and All-Day PV Power Forecasting Using Expansion PDE Models Composed of the L-Transform Components in Nodes of Step-by-Step Evolved Polynomial Binary-Nets.
Proceedings of the Advances in Computational Intelligence, 2023

Photovoltaic Power 24-hour Predictions Using PDE Component Models Based on the L-Transform Conversion Produced in Node-by-Node Evolved Binomial Networks.
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2023

2020
Photo-voltaic power daily predictions using expanding PDE sum models of polynomial networks based on Operational Calculus.
Eng. Appl. Artif. Intell., 2020

2019
Wind Power Intra-day Multi-step Predictions Using PDE Sum Models of Polynomial Networks Based on the PDE Conversion and Substitution with the L-Transformation.
Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019), 2019

Wind-Power Intra-day Statistical Predictions Using Sum PDE Models of Polynomial Networks Combining the PDE Decomposition with Operational Calculus Transforms.
Proceedings of the Hybrid Intelligent Systems, 2019

2018
Multi-site post-processing of numerical forecasts using a polynomial network substitution for the general differential equation based on operational calculus.
Appl. Soft Comput., 2018

Post-processing of Wind-Speed Forecasts Using the Extended Perfect Prog Method with Polynomial Neural Networks to Elicit PDE Models.
Proceedings of the Hybrid Intelligent Systems, 2018

2017
Modelling the Photovoltaic output Power using the differential Polynomial Network and Evolutionary fuzzy Rules.
Math. Model. Anal., 2017

NWP Model Revisions Using Polynomial Similarity Solutions of the General Partial Differential Equation.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2017

2016
Constructing general partial differential equations using polynomial and neural networks.
Neural Networks, 2016

Numerical weather prediction revisions using the locally trained differential polynomial network.
Expert Syst. Appl., 2016

A substitution of the general partial differential equation with extended polynomial networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Forecasting a Photovoltaic Power Output with Ordinary Differential Equation Solutions Using the "Aladin" Model.
Proceedings of the Third International Afro-European Conference for Industrial Advancement, 2016

2015
Short-term Power Demand Forecasting using the Differential Polynomial Neural Network.
Int. J. Comput. Intell. Syst., 2015

Composing and Solving General Differential Equations Using Extended Polynomial Networks.
Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems, 2015

2014
Constructing ordinary sum differential equations using polynomial networks.
Inf. Sci., 2014

Power Demand Daily Predictions Using the Combined Differential Polynomial Network.
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014

Daily Power Load Forecasting Using the Differential Polynomial Neural Network.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Daily Power Demand Forecast Models of the Differential Polynomial Neural Network.
Proceedings of the Intelligent Data analysis and its Applications, Volume I, 2014

2013
Irradiance prediction using Echo State Queueing Networks and Differential polynomial Neural Networks.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Forecast Models of Partial Differential Equations Using Polynomial Networks.
Proceedings of the Genetic and Evolutionary Computing, 2013

Power Output Models of Ordinary Differential Equations by Polynomial and Recurrent Neural Networks.
Proceedings of the Innovations in Bio-inspired Computing and Applications, 2013

Failure and power utilization system models of differential equations by polynomial neural networks.
Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013

Application of Relative Derivation Terms by Polynomial Neural Networks.
Proceedings of the Dateso 2013 Annual International Workshop on DAtabases, 2013


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