Solar Radiation Measurement Using Raspberry Pi and Its Modelling Using Artificial Neural Networks

Selvanathan Shanmuga Priya, Norman Carl Freudenberg, Arunabh Borkataky

Research output: Contribution to journalArticle

Abstract

The advent of solar energy as the best alternative to traditional energy sources has led to an extensive study on the measurement and prediction of solar radiation. Devices such as pyranometer, pyrrheliometer, global UV radiometer are used for the measurement of solar radiation. The solar radiation measuring instruments available at Innovation Center, MIT Manipal were integrated with a Raspberry Pi to allow remote access to the data through the university Local Area Network. The connections of the data loggers and the Raspberry Pi were enclosed in a plastic box to prevent damage from the rainfall and humidity in Manipal. The solar radiation data was used to validate an Artificial Neural Network model which was developed using various meterological data from 2011-2015.

Original languageEnglish
Article number06011
JournalMATEC Web of Conferences
Volume77
DOIs
Publication statusPublished - 03-10-2016

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Solar radiation
Neural networks
Radiometers
Local area networks
Solar energy
Rain
Atmospheric humidity
Innovation
Plastics

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Engineering(all)
  • Materials Science(all)

Cite this

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Solar Radiation Measurement Using Raspberry Pi and Its Modelling Using Artificial Neural Networks. / Priya, Selvanathan Shanmuga; Freudenberg, Norman Carl; Borkataky, Arunabh.

In: MATEC Web of Conferences, Vol. 77, 06011, 03.10.2016.

Research output: Contribution to journalArticle

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