Time series SARIMA models for average monthly solar radiation in Malaysia

Mira Syahirah Kamil, Ahmad Mahir Razali

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

2 Citations (Scopus)

Abstract

Modeling and forecasting solar radiation data give a great use for the development of solar energy in Malaysia. In this paper, the Box-Jenkins approach was applied to solar radiation data from two different locations in Malaysia, which are Mersing and Kuala Terengganu. The corrected Akaike Information Criterion (AICc) is used to compare different Box-Jenkins models that are considered. The purpose of the study is to forecast the potential use of solar radiation to produce energy. The seasonal moving average model of order 1, SARIMA (0,0,0)×(0,1,1)12 was suitable to model solar radiation data in Kuala Terengganu and the Mersing. Ljung-Box statistic was used in diagnostic checking, which showed that the models were adequate.

Original languageEnglish
Title of host publicationICREM7 2015 - Proceedings of the 7th International Conference on Research and Education in Mathematics: Empowering Mathematical Sciences through Research and Education
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages256-261
Number of pages6
ISBN (Print)9781467375061
DOIs
Publication statusPublished - 14 Dec 2015
Event7th International Conference on Research and Education in Mathematics, ICREM7 2015 - Kuala Lumpur, Malaysia
Duration: 25 Aug 201527 Aug 2015

Other

Other7th International Conference on Research and Education in Mathematics, ICREM7 2015
CountryMalaysia
CityKuala Lumpur
Period25/8/1527/8/15

Fingerprint

Solar radiation
Malaysia
time series
Time series
solar energy
Solar energy
diagnostic
statistics
Statistics
energy

Keywords

  • Box-Jenkins method
  • Solar radiation
  • time series

ASJC Scopus subject areas

  • Education
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Cite this

Kamil, M. S., & Razali, A. M. (2015). Time series SARIMA models for average monthly solar radiation in Malaysia. In ICREM7 2015 - Proceedings of the 7th International Conference on Research and Education in Mathematics: Empowering Mathematical Sciences through Research and Education (pp. 256-261). [7357065] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICREM.2015.7357065

Time series SARIMA models for average monthly solar radiation in Malaysia. / Kamil, Mira Syahirah; Razali, Ahmad Mahir.

ICREM7 2015 - Proceedings of the 7th International Conference on Research and Education in Mathematics: Empowering Mathematical Sciences through Research and Education. Institute of Electrical and Electronics Engineers Inc., 2015. p. 256-261 7357065.

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

Kamil, MS & Razali, AM 2015, Time series SARIMA models for average monthly solar radiation in Malaysia. in ICREM7 2015 - Proceedings of the 7th International Conference on Research and Education in Mathematics: Empowering Mathematical Sciences through Research and Education., 7357065, Institute of Electrical and Electronics Engineers Inc., pp. 256-261, 7th International Conference on Research and Education in Mathematics, ICREM7 2015, Kuala Lumpur, Malaysia, 25/8/15. https://doi.org/10.1109/ICREM.2015.7357065
Kamil MS, Razali AM. Time series SARIMA models for average monthly solar radiation in Malaysia. In ICREM7 2015 - Proceedings of the 7th International Conference on Research and Education in Mathematics: Empowering Mathematical Sciences through Research and Education. Institute of Electrical and Electronics Engineers Inc. 2015. p. 256-261. 7357065 https://doi.org/10.1109/ICREM.2015.7357065
Kamil, Mira Syahirah ; Razali, Ahmad Mahir. / Time series SARIMA models for average monthly solar radiation in Malaysia. ICREM7 2015 - Proceedings of the 7th International Conference on Research and Education in Mathematics: Empowering Mathematical Sciences through Research and Education. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 256-261
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