Behavior Prediction Algorithm of Solar Radiation and Temperature in Cajicá, Colombia

Nicolas Fernando Marrugo, Dario Amaya, Olga Ramos


The meteorological variables prediction such as solar radiation, temperature and humidity, is a process that has taken a major relevance in the last years, due to the impact of this variables in energetic systems, especially those that use renewable sources. This article has as objective, design and develop a prediction algorithm using artificial intelligence to determine the future behavior of solar radiation and temperature in Cajicá, Colombia. Initially were used the campus meteorological station of UMNG (Nueva Granada Military University), to validate the data collected by the NASA web application POWER (Prediction of Worldwide Energy Resource), data will be used for characterizing these variables. Obtaining as a result, a patterns prediction tool of increase, decrease or constancy of solar radiation and temperature, that be able to support the development of energetic projects based on the use of renewable sources.

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Artificial Intelligence algorithm, solar energy, solar radiation, temperature

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