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

Selvanathan Shanmuga Priya; Norman Carl Freudenberg; Arunabh Borkataky

doi:10.1051/matecconf/20167706011

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

Selvanathan Shanmuga Priya, Norman Carl Freudenberg, Arunabh Borkataky

Department of Chemical Engineering, Manipal Institute of Technology, Manipal

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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 language	English
Article number	06011
Journal	MATEC Web of Conferences
Volume	77
DOIs	https://doi.org/10.1051/matecconf/20167706011
Publication status	Published - 03-10-2016
Event	3rd International Conference on Mechanics and Mechatronics Research, ICMMR 2016 - Chongqing, China Duration: 15-06-2016 → 17-06-2016

All Science Journal Classification (ASJC) codes

General Chemistry
General Engineering
General Materials Science

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10.1051/matecconf/20167706011

Cite this

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title = "Solar Radiation Measurement Using Raspberry Pi and Its Modelling Using Artificial Neural Networks",

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.",

author = "Priya, \{Selvanathan Shanmuga\} and Freudenberg, \{Norman Carl\} and Arunabh Borkataky",

note = "Publisher Copyright: {\textcopyright} The Authors, published by EDP Sciences, 2016.; 3rd International Conference on Mechanics and Mechatronics Research, ICMMR 2016 ; Conference date: 15-06-2016 Through 17-06-2016",

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doi = "10.1051/matecconf/20167706011",

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T1 - Solar Radiation Measurement Using Raspberry Pi and Its Modelling Using Artificial Neural Networks

AU - Priya, Selvanathan Shanmuga

AU - Freudenberg, Norman Carl

AU - Borkataky, Arunabh

N1 - Publisher Copyright: © The Authors, published by EDP Sciences, 2016.

PY - 2016/10/3

Y1 - 2016/10/3

N2 - 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.

AB - 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.

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JO - MATEC Web of Conferences

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ER -

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

Abstract

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