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Ladislav Zjavka
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2020 – today
- 2024
- [j9]Ladislav Zjavka:
Power Quality Estimations for Unknown Binary Combinations of Electrical Appliances Based on the Step-by-Step Increasing Model Complexity. Cybern. Syst. 55(5): 1184-1204 (2024) - 2023
- [j8]Ladislav Zjavka:
Power quality 24-hour prediction using differential, deep and statistics machine learning based on weather data in an off-grid. J. Frankl. Inst. 360(17): 13712-13736 (2023) - [c17]Ladislav Zjavka, Václav Snásel:
Photovoltaic Power 24-hour Predictions Using PDE Component Models Based on the L-Transform Conversion Produced in Node-by-Node Evolved Binomial Networks. INCoS 2023: 79-89 - [c16]Ladislav Zjavka, Václav Snásel:
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. IWANN (1) 2023: 678-689 - 2020
- [j7]Ladislav Zjavka:
Photo-voltaic power daily predictions using expanding PDE sum models of polynomial networks based on Operational Calculus. Eng. Appl. Artif. Intell. 89: 103409 (2020)
2010 – 2019
- 2019
- [c15]Ladislav Zjavka, Václav Snásel, Ajith Abraham:
Wind-Power Intra-day Statistical Predictions Using Sum PDE Models of Polynomial Networks Combining the PDE Decomposition with Operational Calculus Transforms. HIS 2019: 72-82 - [c14]Ladislav Zjavka, Václav Snásel, Ajith Abraham:
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. SoCPaR 2019: 254-265 - 2018
- [j6]Ladislav Zjavka:
Multi-site post-processing of numerical forecasts using a polynomial network substitution for the general differential equation based on operational calculus. Appl. Soft Comput. 73: 192-202 (2018) - [c13]Ladislav Zjavka, Stanislav Misák, Lukás Prokop:
Post-processing of Wind-Speed Forecasts Using the Extended Perfect Prog Method with Polynomial Neural Networks to Elicit PDE Models. HIS 2018: 11-21 - 2017
- [j5]Ladislav Zjavka, Pavel Krömer, Stanislav Misák, Václav Snásel:
Modelling the Photovoltaic output Power using the differential Polynomial Network and Evolutionary fuzzy Rules. Math. Model. Anal. 22(1): 78-94 (2017) - [c12]Ladislav Zjavka, Stanislav Misák, Lukás Prokop:
NWP Model Revisions Using Polynomial Similarity Solutions of the General Partial Differential Equation. IBICA 2017: 81-91 - 2016
- [j4]Ladislav Zjavka:
Numerical weather prediction revisions using the locally trained differential polynomial network. Expert Syst. Appl. 44: 265-274 (2016) - [j3]Ladislav Zjavka, Witold Pedrycz:
Constructing general partial differential equations using polynomial and neural networks. Neural Networks 73: 58-69 (2016) - [c11]Ladislav Zjavka, Václav Snásel:
Forecasting a Photovoltaic Power Output with Ordinary Differential Equation Solutions Using the "Aladin" Model. AECIA 2016: 28-37 - [c10]Ladislav Zjavka, Václav Snásel, Varun Kumar Ojha, Witold Pedrycz:
A substitution of the general partial differential equation with extended polynomial networks. IJCNN 2016: 4819-4826 - 2015
- [j2]Ladislav Zjavka:
Short-term Power Demand Forecasting using the Differential Polynomial Neural Network. Int. J. Comput. Intell. Syst. 8(2): 297-306 (2015) - [c9]Ladislav Zjavka, Václav Snásel:
Composing and Solving General Differential Equations Using Extended Polynomial Networks. INCoS 2015: 110-115 - 2014
- [j1]Ladislav Zjavka, Václav Snásel:
Constructing ordinary sum differential equations using polynomial networks. Inf. Sci. 281: 462-477 (2014) - [c8]Ladislav Zjavka:
Daily Power Demand Forecast Models of the Differential Polynomial Neural Network. ECC (1) 2014: 421-430 - [c7]Ladislav Zjavka:
Daily Power Load Forecasting Using the Differential Polynomial Neural Network. HAIS 2014: 478-489 - [c6]Ladislav Zjavka:
Power Demand Daily Predictions Using the Combined Differential Polynomial Network. IBICA 2014: 73-82 - 2013
- [c5]Ladislav Zjavka:
Application of Relative Derivation Terms by Polynomial Neural Networks. DATESO 2013: 98-108 - [c4]Ladislav Zjavka, Ajith Abraham:
Failure and power utilization system models of differential equations by polynomial neural networks. HIS 2013: 273-278 - [c3]Ladislav Zjavka, Václav Snásel:
Power Output Models of Ordinary Differential Equations by Polynomial and Recurrent Neural Networks. IBICA 2013: 1-11 - [c2]Ladislav Zjavka:
Forecast Models of Partial Differential Equations Using Polynomial Networks. ICGEC 2013: 1-11 - [c1]Sebastián Basterrech, Ladislav Zjavka, Lukás Prokop, Stanislav Misák:
Irradiance prediction using Echo State Queueing Networks and Differential polynomial Neural Networks. ISDA 2013: 271-276
Coauthor Index
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last updated on 2024-06-03 00:08 CEST by the dblp team
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