We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Levinson’s Recursion for Forecasting Electrical Energy Consumption in the Household Sector in Indonesia.
- Authors
Raharjo, Jangkung; Rizal, Syamsul; Hasudungan, Jaspar
- Abstract
Forecasting energy consumption is essential for planning electricity provision by both central and local governments, as well as electricity providers. This research sought to adapt Levinson recursion, previously utilized in speech signal prediction, for predicting electrical energy consumption in the household sector. By employing Levinson’s algorithm to derive autocorrelation from historical data, the study contrasted the method's efficacy across various orders of Levinson Recursion. The 22nd order emerged as the most optimal, with an approximate error rate of 3.67%. Although the method showed a pronounced sensitivity to fluctuations in historical data, making it suitable for short-term forecasts, the noticeable fluctuation in the energy consumption prediction graph warrants further research, especially given that the current method has mainly been applied to concise signal predictions.
- Subjects
INDONESIA; ENERGY consumption forecasting; CONSUMPTION (Economics); ENERGY consumption; ELECTRICAL energy; ERROR rates
- Publication
International Review of Electrical Engineering, 2023, Vol 18, Issue 5, p347
- ISSN
1827-6660
- Publication type
Article
- DOI
10.15866/iree.v18i5.22869