Application of ARIMA Modelling for the Forecasting of Solar, Wind, Spot and Options Electricity Prices: The Australian National Electricity Market

Authors

  • Yasir Alsaedi Department of Mathematics, Umm Al-Qura University, Makkah, Saudi Arabia and Environmental Futures Research Institute and School of Environment and Science in Brisbane ,Queensland,Australia.
  • Gurudeo Anand Tularam Environmental Futures Research Institute , Griffith University, Australia
  • Victor Wong Department of Accounting, Finance and Economics, Griffith University, Australia

Abstract

This study aims to develop autoregressive integrated moving average (ARIMA) models to predict the solar, wind, spot and options pricing over the next two years, with historical data being used in a univariate manner to understand market behaviour in terms of trends. The assessment is made in the context of the Australian National Electricity Market (ANEM). The ARIMA models predict the future values of the monthly solar, wind, spot and options prices for various Australian states using time-series data from January 2006 to March 2018. The results show increases from 30.46–40.42% for the spot electricity prices and from 14.80–15.13% for the options electricity prices in the ANEM with a two-year horizon. The results further show that wind prices are expected to increase by an average of 5.43%. However, the results also show that the average solar electricity prices will decrease by 67.7%.Keywords: Electricity pricing, ARIMA model, Forecasting.JEL Classifications: C22, E37, Q47DOI: https://doi.org/10.32479/ijeep.7785

Downloads

Download data is not yet available.

Downloads

Published

2019-06-01

How to Cite

Alsaedi, Y., Tularam, G. A., & Wong, V. (2019). Application of ARIMA Modelling for the Forecasting of Solar, Wind, Spot and Options Electricity Prices: The Australian National Electricity Market. International Journal of Energy Economics and Policy, 9(4), 263–272. Retrieved from https://econjournals.com/index.php/ijeep/article/view/7785

Issue

Vol. 9 No. 4 (2019)

Section

Articles

License

Submission of an article implies that the work described has not been published previously , that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication.