计算技术与自动化2011，Vol.30Issue(2)：30-33,4.
基于支持向量机的电力市场价格预测中的核函数比较
A Comparison of Kernel Functions of Support Vector Machine for Electricity Price Forecasting
翟鸿雁 1曾晋明 2曾纪霞1
作者信息
- 1. 广州城市职业学院，广东广州510405
- 2. 中国南方电网广东电网公司广州供电局，广东广州510030
- 折叠
摘要
Abstract
Accurate forecasting of spot price is an essential issue in electricity market. Support Vector machines (SVM) has been widely adopted to deal with this issue. However, the high fluctuation and randomness features of electricity market present a number of challenges for the choosing of kernel functions for SVM. In this paper, by using different kernel functions, two SVM models for electricity price forecast have been developed. Case studies, adopting data from an actual electricity market, have been performed and the results are presented. In addition, comparisons with results from other SVM forecasting studies have shown that the performance of SVM models could be improved by choosing a tailored kernel function.关键词
电力市场；预测；支持向量机；核函数Key words
power market/ forecasting / SVM/ kernel functions分类
信息技术与安全科学引用本文复制引用
翟鸿雁,曾晋明,曾纪霞..基于支持向量机的电力市场价格预测中的核函数比较[J].计算技术与自动化,2011,30(2):30-33,4.
