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Comparison of artificial neural network and regression models for filling temporal gaps of meteorological variables time series
E Dyukarev - Applied Sciences, 2023 - mdpi.com
Continuous meteorological variable time series are highly demanded for various climate
related studies. Five statistical models were tested for application of temporal gaps filling in …
related studies. Five statistical models were tested for application of temporal gaps filling in …
[HTML][HTML] Application of a Computational Hybrid Model to Estimate and Filling Gaps for Meteorological Time Series
ER Coutinho, JGF Madeira, RM Silva… - Revista Brasileira de …, 2024 - SciELO Brasil
The present study applies computational intelligence techniques in the development of a
hybrid model composed of Artificial Neural Networks (ANNs) and Genetic Algorithms …
hybrid model composed of Artificial Neural Networks (ANNs) and Genetic Algorithms …
Evaluación de métodos estadísticos y matemáticos para estimar datos pluviométricos faltantes en la microcuenca del río Pita, Pichincha, Ecuador
OSB Cáceres, TAP Cabrera - ACI Avances en Ciencias e …, 2024 - revistas.usfq.edu.ec
La ausencia de datos en series temporales de variables meteorológicas es un
inconveniente en las ciencias ambientales, especialmente en lo que respecta a la …
inconveniente en las ciencias ambientales, especialmente en lo que respecta a la …
[HTML][HTML] Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks through the Virtual Weather Station Concept in Castilla and …
FJ Diez, OF Boukharta, LM Navas-Gracia… - Sensors, 2022 - mdpi.com
In this article, the interpolation of daily data of global solar irradiation, and the maximum,
average, and minimum temperatures were measured. These measurements were carried …
average, and minimum temperatures were measured. These measurements were carried …