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基于自回归模型的超短期负荷预测方法
A ultra-short term load forecasting method based on autoregression
【摘要】 针对提前1小时的超短期负荷预测,在充分分析负荷特性的基础上,提出了基于自回归模型的超短期负荷预测,并利用拐点与负荷变化率的关系对预测结果修正。算例分析表明,该方法可以取得较高的预测精度。
【Abstract】 Aiming at one hour ahead load forecasting,this paper presents a ultra-short term load forecasting method based on autoregression model In the basis of analyzing load character thoroughly,corrects forecasting result by using the relationship between inflection point and load variation ratio.The result of study indicates that this method can gain a higher forecasting precision.
【关键词】 超短期负荷预测;
自回归模型;
负荷变化率;
【Key words】 ultra-short term load forecasting; autoregression model; .load variance ratio;
【Key words】 ultra-short term load forecasting; autoregression model; .load variance ratio;
- 【文献出处】 继电器 ,Relay , 编辑部邮箱 ,2007年S1期
- 【分类号】TM715
- 【被引频次】8
- 【下载频次】349