MODELLING THE PHOTOVOLTAIC OUTPUT POWER USING THE DIFFERENTIAL POLYNOMIAL NETWORK AND EVOLUTIONARY FUZZY RULES

DOI10.3846/13926292.2017.1269025zbMath1477.68286OpenAlexW2578684911WikidataQ62628778 ScholiaQ62628778MaRDI QIDQ5015437

Ladislav Zjavka, Stanislav Mišák, Pavel Krömer, Václav Snášel

Publication date: 8 December 2021

Published in: Mathematical Modelling and Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3846/13926292.2017.1269025

zbMATH Keywords

solar irradiationdifferential polynomial neural networkevolutionary fuzzy rulesphotovoltaic output power

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Multivariate analysis and fuzziness (62H86) PDEs in connection with computer science (35Q68) Computational aspects of data analysis and big data (68T09)

Cites Work

• Towards new directions of data mining by evolutionary fuzzy rules and symbolic regression
• Mathematical theory of reduction of physical parameters and similarity analysis
• On the trajectory method for the reconstruction of differential equations from time series
• Genetic Algorithms and Genetic Programming
• Exact solutions for nonlinear partial differential equation: a new approach
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