Redes neurais para previsão de radiação solar em Manta – Equador

Translated title of the contribution: Neural networks for solar radiation prediction in Manta - Ecuador

Marcos Ponce-Jara, Carlo Alonso Cano Gordillo, Carlos Velásquez, Juan Guillermo Lazo Lazo, Alvaro Talavera

Research output: Contribution to journalArticle in a journalpeer-review


In Ecuador, solar radiation and wind speed data are not always available for places of interest due to the absence of meteorological stations. Within the scope of this work, a low-cost automatic weather station prototype based on Raspberry technology was developed to measure the variables mentioned above. The objective of this work is twofold: a) to present a project proposal for a low-cost automatic meteorological station using the Raspberry Pi microcomputer, showing the viability of this technology as an alternative for the construction of an automatic meteorological station, and; b) to use neural network forecasting to predict solar radiation in Manta, Ecuador, based on historical data collected: solar radiation, wind speed, and direction. We prove that technology feasibility and machine learning have a high potential as a tool to be used in this field of study.
Translated title of the contributionNeural networks for solar radiation prediction in Manta - Ecuador
Original languagePortuguese (Brazil)
Pages (from-to)183-194
Number of pages12
JournalRevista Campo da História
Issue number1
StatePublished - 31 Jan 2023


  • Meteorological station
  • Solar radiation
  • Wind speed
  • Neural networks
  • Forecast


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