Fuzzy systems application to electric short-term load forecasting: Part II - Computational results

被引：2
|
作者：
Al-Kandari, AM [1 ]
Soliman, SA [1 ]
El-Hawary, ME [1 ]
机构：
[1] Coll Technol Studies, Elect Technol Dept, Shuweikh, Kuwait
来源：
LESCOPE'03 : 2003 LARGE ENGINEERING SYSTEMS CONFERENCE ON POWER ENGINEERING, CONFERENCE PROCEEDINGS: ENERGY FOR THE FUTURE | 2003年
关键词：
D O I：
10.1109/LESCPE.2003.1204692
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In the first part of this paper, different fuzzy load models are developed for short-term load forecasting. The first model is a harmonic model with fuzzy coefficients. It is a function only of the hour in question, and it. is suitable for summer and winter season. The second model is a hybrid model. It is a function of both the hour in question and the temperature at that hour and the previous hours. The coefficients of this model are fuzzy. Both models are implemented to predict the load of a large utility company. The obtained results show that using such fuzzy models; the variations in the load power can be accounted for, since the estimated load power is within upper and lower limits. More results can be found in Reference [1].
引用
收藏
页码：131 / 137
页数：7
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