Forecasting day-ahead electricity prices of Singapore through ARIMA and wavelet-ARIMA
The changes observed in the electricity markets over the past decade brought about developments in the field of electricity modeling. In this paper, traditional AutoRegressive Integrated Moving Average (ARIMA) models and Wavelet-ARIMA models arc applied to the Singapore electricity market, Asia'...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | text |
| Published: |
Animo Repository
2012
|
| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1851 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | De La Salle University |
| Summary: | The changes observed in the electricity markets over the past decade brought about developments in the field of electricity modeling. In this paper, traditional AutoRegressive Integrated Moving Average (ARIMA) models and Wavelet-ARIMA models arc applied to the Singapore electricity market, Asia's first liberalized electricity market. Forecasting will be done for each electricity price modelling technique and the adequacy of the models is tested through forecast accuracy. The comparison of forecast accuracy of the models is done across different data behaviors. Copyright © 2012 De La Salle University, Philippines. |
|---|