INVESTIGADORES
SANCHEZ REINOSO Carlos Roberto
artículos
Título:
Photovoltaic generation model as a function of weather variables using artificial intelligence techniques
Autor/es:
SÁNCHEZ REINOSO, C. R.; CUTRERA, M.; BATTIONI, M.; MILONE, D. H.; BUITRAGO, R. H.
Revista:
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Editorial:
PERGAMON-ELSEVIER SCIENCE LTD
Referencias:
Lugar: Quartile Q1; Año: 2012 vol. 37 p. 14781 - 14786
ISSN:
0360-3199
Resumen:
The optimisation of photovoltaic systems of electricity generation involve the necesity ofreal data of the different variables as well as determination of their relationships. In thefield of photovoltaic solar energy there is interest to predict the energy generation in termsof solar radiation and climatic parameters. For this purpose, it is needed a good sensingand measurement of these parameters.In this paper, we propose a method based on artificial intelligence techniques forobtaining the generated energy under climatic conditions during a year. In addition, wepropose a model that relates short-circuit current with radiation, considering the truenonlinear behavior of the relationship between variables.The results of the proposed method using real data show its validity and usefulness inpredicting the generated energy by photovoltaic modules and the search for alternativemethods of measuring global radiation at low cost and reasonable error.
