Solar Radiation Measurement using Raspberry Pi and its Modelling using Artificial Neural Networks

Shanmugapriya, S and Norman Carl, Freudenberg and Borkataky, Arunabh (2016) Solar Radiation Measurement using Raspberry Pi and its Modelling using Artificial Neural Networks. In: International Conference on Power, Energy and Mehanical Engineering, 18/06/2016, Bangkok.

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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

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Solar radiation measurements ; Raspberry Pi ; Artificial Neural network
Subjects: Engineering > MIT Manipal > Chemical
Depositing User: MIT Library
Date Deposited: 12 Oct 2016 09:22
Last Modified: 12 Oct 2016 09:22
URI: http://eprints.manipal.edu/id/eprint/147112

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