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Prediction Model of Short-term Load in Power System Based on Interval Type-2 Fuzzy Logic.
- Source :
- IAENG International Journal of Computer Science; Sep2021, Vol. 48 Issue 3, p646-652, 7p
- Publication Year :
- 2021
-
Abstract
- The operation schedule system in electric power system needs to predict the short-term load on-line in that its prediction accuracy has great influence on the technique and economic performance index. A prediction model on short-term load of power system was put forward based on the interval type-2 fuzzy logic system (IT2FLS). Firstly, IT2FLS and the corresponding prediction model are discussed in details. Then interval type-1 fuzzy sets (IT1FSs) and IT2FLS based forecasting algorithms are adopted to realize the prediction of the chaotic time series and short-term load in electric power system. Simulation results show the effectiveness of proposed prediction method with higher prediction accuracy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1819656X
- Volume :
- 48
- Issue :
- 3
- Database :
- Supplemental Index
- Journal :
- IAENG International Journal of Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 152234466