Online hierarchical forecasting for power consumption data

Autor: Malo Huard, Margaux Brégère

Publikováno v: International Journal of Forecasting
International Journal of Forecasting, 2022, 38 (1), pp.339-351. ⟨10.1016/j.ijforecast.2021.05.011⟩

We study the forecasting of the power consumptions of a population of households and of subpopulations thereof. These subpopulations are built according to location, to exogenous information and/or to profiles we determined from historical households

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b366608cf684046458e855be34da9115
https://doi.org/10.1016/j.ijforecast.2021.05.011

A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data

Autor: Laure Sansonnet, Marie Perrot-Dockès, Céline Lévy-Leduc, Stéphane Robin, Grégory Genta-Jouve, Julien Chiquet, Margaux Brégère, Marie-Pierre Etienne

Publikováno v: Statistical Applications in Genetics and Molecular Biology
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2018, 17 (5), ⟨10.1515/sagmb-2017-0077⟩
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2018, ⟨10.1515/sagmb-2017-0077⟩

Omic data are characterized by the presence of strong dependence structures that result either from data acquisition or from some underlying biological processes. Applying statistical procedures that do not adjust the variable selection step to the d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c918105dccf33bc2c9fbce3def3d79f9
https://hal-agroparistech.archives-ouvertes.fr/hal-02902041