机电工程技术Issue(12)：18-20,48,4.DOI:10.3969/j.issn.1009-9492.2012.12.006
基于支持向量机的短期负荷预测
Short-Term Load Forecast of Power System Based on SVM Algorithm
陈亮宏 1罗毅初 2龙雪涛2
作者信息
- 1. 中国南方电网有限责任公司 教育评价中心, 广东广州 510260
- 2. 广东电网公司 佛山供电局, 广东佛山 528000
- 折叠
摘要
Abstract
The paper proposed a short-term load forecast method of power system based on SVM algorithm. Considering the social environment and load characteristic in Foshan area, the paper adopted SVM model forecasting the 96 load value of Foshan area, the result of which showed that the algorithm can improve the accuracy of power load forecasting.关键词
短期负荷预测/支持向量机/结构最小化原则Key words
short-term/load forecast/SVM分类
信息技术与安全科学引用本文复制引用
陈亮宏,罗毅初,龙雪涛..基于支持向量机的短期负荷预测[J].机电工程技术,2012,(12):18-20,48,4.
