期刊名称：IAENG International Journal of Computer Science
印刷版ISSN：1819-656X
电子版ISSN：1819-9224
出版年度：2021
卷号：48
期号：3
语种：English
出版社：IAENG - International Association of Engineers
摘要：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.
