Application of artificial neural networks for prediction of solar radiation for Botswana

V. Sampath Kumar, J. Prasad, V. Lakshmi Narasimhan, S. Ravi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Energy plays a pivotal role in the socio and economic development of a country. It is the key to many daily chores. The depleting fossil fuels reserve and its climatic impact on a global scale encourage the development of alternate sources of energy. It is crucial that the developing countries utilize other renewable sources and tap the potential for its development. Botswana being a landlocked country has abundance of resources and receives sunshine throughout the year. This paper discusses Artificial Neural Network Model for solar radiation in Botswana. By using data of global solar radiation, sunshine hours data recorded for six locations, Gaborone, Francistown, Kasane, Maun, Shakawe, Ghanzi the solar constants were obtained. MATLAB Neural Network tool was used for training and regression analysis computed. The results using Artificial Neural Network encourages the development of a Neural Network Model application for developing a significant model for estimating the Solar Potential in Botswana.

Original languageEnglish
Title of host publication2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3493-3501
Number of pages9
ISBN (Electronic)9781538618868
DOIs
Publication statusPublished - Jun 19 2018
Event2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 - Chennai, India
Duration: Aug 1 2017Aug 2 2017

Publication series

Name2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017

Conference

Conference2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017
CountryIndia
CityChennai
Period8/1/178/2/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Computer Science Applications
  • Signal Processing

Fingerprint Dive into the research topics of 'Application of artificial neural networks for prediction of solar radiation for Botswana'. Together they form a unique fingerprint.

  • Cite this

    Kumar, V. S., Prasad, J., Narasimhan, V. L., & Ravi, S. (2018). Application of artificial neural networks for prediction of solar radiation for Botswana. In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 (pp. 3493-3501). (2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECDS.2017.8390110