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- Title
Sistema adaptativo de inferencia neuro-difusa (ANFIS) para la estimación de la radiación solar global.
- Authors
Bastos Guerrero, Diana Carolina; Illera Bustos, Mario Joaquín; Sepúlveda Mora, Sergio Basilio
- Abstract
Objective: Adjust an adaptive neuro-diffuse inference system (ANFIS) for the estimation of global solar radiation in the city of Cúcuta. Methodology: From historical records of the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM) the variables were obtained: ambient temperature, solar brightness, wind speed, relative humidity, measurement time and global solar radiation between the years 2005 and 2015. Using The Fuzzy Logic Toolbox from Matlab and the IDEAM data were created ANFIS networks with different configurations. After comparing the statistical errors, the ANFIS model was chosen, which allowed minimizing the mean square error (RMSE). Results: The statistical errors of the model are: R2 = 0.9115, RMSE = 124.23 Wh / m2 and MAPE = 27.8%, showing high precision for estimating global solar radiation in the selected territory. Conclusions: The proposed ANFIS network is a model based on artificial intelligence with sufficient precision to be used in the design of photovoltaic systems in the region, which does not have a wide network of pyranometers to measure the solar resource.
- Subjects
GLOBAL radiation; STATISTICAL errors; WIND speed; ENVIRONMENTAL sciences; HUMIDITY; SOLAR radiation
- Publication
Investigación e Innovación en Ingenierías, 2021, Vol 9, Issue 1, p34
- ISSN
2344-8652
- Publication type
Article
- DOI
10.17081/invinno.9.1.4112