摘要
对传统的线性组合预测模型进行研究,根据权重的约束,对"误差平方之和最小"、"误差绝对值之和最小"和"最大误差绝对值最小"准则的线性组合预测进行推广,补充了若干个线性组合预测模型。以美国加州电力日均价为例,给出9种线性组合预测模型的预测结果。
The conventional linear forecasting models were researched.According to the weight constraints,the linear combining forecasting models of 'the least the sum of squares of error','the least the sum of error absolute value' and 'the least the error absolute value' were generalized.The novel several linear combining forecasting models were put forward.Taking the California history daily electricity price as a study case,the prediction results are given by the nine linear forecasting models.
出处
《中南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2013年第S2期178-182,共5页
Journal of Central South University:Science and Technology
基金
人工智能四川省重点实验室开放基金资助项目(2009RY001)
"青蓝工程"资助项目(2010年)
关键词
组合预测
误差
电价
combining forecasting
error
electricity price