摘要
由于模糊系统能够在任意精度上一致逼近任何定义在致密集上的非线性函数 ,具有从大量数据中提取相似性的强大能力 ,且能同时利用数据信息和语言信息 ,因此模糊集理论在电力系统短期负荷预测中得到了越来越广泛的应用。文中对模糊集理论应用于电力系统短期负荷预测中的研究现状进行了综述 ,包括模糊集理论分别与专家系统、传统的预测技术、人工神经网络相结合在短期负荷预测中的应用 ,以及模糊逻辑系统在短期负荷预测中的应用 。
Fuzzy set theory has some advantages in identifying and approximating any uncertain nonlinear dynamic systemsdefined on the compact set with arbitrary accuracy. drawing similarities from a vast amount of data, and making use ofinformation of data and language. It has been extensively applied to short--term load forecasting (STLF) in power system.This paper surveys the applications of the fuzzy set theory, including the applications of the combinations of fuzzy set theorywith respectively expert system. traditional prediction technique. ANN to STLF, and the application of fuzzy logic system toSTLF. Then this paper gives a view about its development.
出处
《电力系统自动化》
EI
CSCD
北大核心
2000年第11期67-72,共6页
Automation of Electric Power Systems
关键词
模糊集理论
短期负荷预测
神经网络
电力系统
fuzzy set theory
short-term load forecasting
intelligence techniques
neural network
