Electricity consumption prediction with functional linear regression using spline estimators

被引:41
作者
Antoch, Jaromir [1 ]
Prchal, Lubos [1 ,2 ]
De Rosa, Maria Rosaria [3 ]
Sarda, Pascal [2 ]
机构
[1] Charles Univ Prague, Dept Stat, Fac Math & Phys, CZ-18675 Prague 8, Karlin, Czech Republic
[2] Univ Toulouse 3, Inst Math Toulouse, UMR 5219, F-31062 Toulouse, France
[3] ITIS Galileo Ferraris, I-80000 Naples, Italy
关键词
functional linear regression; functional response; ARH(1); penalized least squares; B-spline; electricity consumption in Sardinia; OUTLIER DETECTION;
D O I
10.1080/02664760903214395
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
070103 [概率论与数理统计]; 140311 [社会设计与社会创新];
摘要
A functional linear regression model linking observations of a functional response variable with measurements of an explanatory functional variable is considered. This model serves to analyse a real data set describing electricity consumption in Sardinia. The interest lies in predicting either oncoming weekends' or oncoming weekdays' consumption, provided actual weekdays' consumption is known. A B-spline estimator of the functional parameter is used. Selected computational issues are addressed as well.
引用
收藏
页码:2027 / 2041
页数:15
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