New approach on renewable energy solar power prediction in Indonesia based on Artificial Neural Network technique: Southern region of Sulawesi island study case

Andhika Prastawa, Rinaldy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Indonesia located at 94°-141°E and 6°N-11°S is the largest archipelago in the equator on earth. As a tropical country, Indonesia is endowed with abundant solar energy potential. This study is focused on modeling the Global Solar Radiation using Artificial Neural Network to predict GSR in a location which is available with meteorological data but lack with radiation measurement data. A case study on 5 locations in South Western region of Sulawesi was used to develop the model. The ANN model used 4 location with 5 years monthly meteorological and radiation data for training, and one location for testing. The simulation shows that an ANN with 4 layers and 5 neurons is the most appropriate model with an MSE of 0.003 and r of 0.99937. The model provides an excellent performance of prediction of with an MPE of 0.1427% and r2 of 0.999967. The predicted radiation data is in reasonable agreement with the actual data at the testing location; this shows the ability of ANN technique in generalization of data unavailability and produces an accurate prediction

Original languageEnglish
Title of host publication2013 International Conference on Quality in Research, QiR 2013 - In Conjunction with ICCS 2013
Subtitle of host publicationThe 2nd International Conference on Civic Space
Pages166-169
Number of pages4
DOIs
Publication statusPublished - 18 Dec 2013
Event2013 13th International Conference on Quality in Research, QiR 2013 - In Conjunction with the 2nd International Conference on Civic Space, ICCS 2013 - Yogyakarta, Indonesia
Duration: 25 Jun 201328 Jun 2013

Publication series

Name2013 International Conference on Quality in Research, QiR 2013 - In Conjunction with ICCS 2013: The 2nd International Conference on Civic Space

Conference

Conference2013 13th International Conference on Quality in Research, QiR 2013 - In Conjunction with the 2nd International Conference on Civic Space, ICCS 2013
CountryIndonesia
CityYogyakarta
Period25/06/1328/06/13

Keywords

  • Artificial Neural Network
  • Back Propagation
  • Feed Forward
  • Global Solar Radiation
  • Mean Square Error
  • Renewable Energy

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