Forecasting of a load time series using a fuzzy expert system and fuzzy neural networks

被引：0
|
作者：
Dash, P.K. [1 ]
Dash, S. [1 ]
Rama Krishna, G. [1 ]
Rahman, S. [1 ]
机构：
[1] Regional Engineering Coll, Rourkela, India
来源：
International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications | 1993年 / 1卷 / 02期
关键词：
Fuzzy sets - Neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Two new computing models namely the fuzzy expert system and hybrid neural network-fuzzy expert system for time series forecasting of electric load are presented in this paper. The fuzzy logic based expert system utilizes the historical relationship between load and dry-bulb temperature and predicts one to twenty-four hour ahead electric loads fairly accurately. In the case of the hybrid neural network-fuzzy expert system the input vector consists of the membership values of linguistic properties of the past load and weather parameters and the output vector is defined in terms of fuzzy class membership values of the forecasted load.
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页码：103 / 117
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