Prediction of Solar Radiation through the Anfis Algorithm

Abstract:

The constant evolution of the energy industry, has introduced the need for ongoing research studies about climate change due to its direct action on the production of alternative energies. Thus, they have focused on developing predictive algorithms in order to resolve, in an early way, the climate action on each point of energy production. In the development of this work, the ANFIS algorithm and information from the NASA Langley research center virtual database were implemented. They being oriented to the analysis and prediction of solar radiation over the geographic area of the Nueva Granada Military University campus, Cajicá, Colombia, with the purpose of making appropriate use of the power generating system located in the zone. The development of such systems, would allow the early identification of solar radiation that can be present in different geographical areas of Colombia, in order to provide the necessary power to cover the electricity demand required in each region, achieving as results an approximation error less than 1%.

• Periodical: Applied Mechanics and Materials (Volume 823)
• Pages: 389-395
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.823.389
• Online since: January 2016
• Authors: Luis Carlos Ruiz*, Dario Amaya, Olga Lucia Ramos
• Keywords: ANFIS, Climate Change, Fuzzification, Fuzzy, Membership Function, Solar Radiation

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