clust_train

A list with observations by cluster for fitting

datasets

A new methodology for linear regression with both curve response
and curve regressors, which is described in Cho, Goude, Brossat and Yao
(2013) <doi:10.1080/01621459.2012.722900> and (2015)
<doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is
dimension reduction based on a singular value decomposition in a Hilbert
space, which reduces the curve regression problem to several scalar linear
regression problems.

Amandine Pierrot

Curve Linear Regression via Dimension Reduction

Qiwei Yao

Haeran Cho

Yannig Goude

Tony Aldon

EDF 

clust_train function

A list of length 14:<dl>
 14 clusters of loads, depending on both daily and seasonal classification,
 banking holidays being removed
</dl>

Format

Amandine Pierrot &lt;amandine.m.pierrot@gmail.com&gt;

clust_train: Electricity load example: clusters on train set

Description

Usage

Arguments

Format

Author