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Short-Term load forecasting double seasonal ARIMA methods: An evaluation based on Mahakam-East Kalimantan data.
- Source :
- AIP Conference Proceedings; 2020, Vol. 2268 Issue 1, p1-12, 12p
- Publication Year :
- 2020
-
Abstract
- This paper uses intraday electricity demand data from Mahakam-East Kalimantan city as the basis of an empirical comparison of univariate methods for prediction up to a day-ahead. A notable feature of the time series is the presence of both an intraday and an intraweek seasonal cycle. The forecasting methods considered in the study include: Double seasonal ARIMA modeling of the daily demand profiles. The Double seasonal ARIMA methods performed well, the method that consistently performed the best was the double seasonal. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2268
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 145933659
- Full Text :
- https://doi.org/10.1063/5.0017643