Online common change-point detection in a set of nonstationary categorical time series

Autor: Latifa Oukhellou, Milad Leyli-Abadi, Pierre Mandel, Nicolas Cheifetz, Véronique Heim, Allou Samé, Cédric Féliers

Publikováno v: Neurocomputing. 439:176-196

Categorical sequences are widely used in various domains to describe the evolutionary state of the process under study. This article addresses the problem of behavioral change detection for multiple categorical time series. Relying on the sequential

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25b47582d44cddc769c7f7bdb5509ec6
https://doi.org/10.1016/j.neucom.2021.01.066

Water Level Short-Term Forecasting Using Statistical Approaches: A Case Study on the Parisian Region

Autor: Véronique Heim, Nicolas Cheifetz, Cédric Féliers, Hugo Senetaire

Publikováno v: Advances in Hydroinformatics ISBN: 9789811554353

Forecasting water level from natural resources like rivers is very challenging due to the complexity of water sections and various environmental effects. In the Ile-de-France region around Paris, the Syndicat des Eaux d’Ile de France (SEDIF) provid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::11a692de14439f0a6fbcc1d88566e135
https://doi.org/10.1007/978-981-15-5436-0_36

Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences

Autor: Olivier Chesneau, Nicolas Cheifetz, Cédric Féliers, Latifa Oukhellou, Milad Leyli-Abadi, Allou Samé, Pierre Mandel

Publikováno v: ACM Transactions on Intelligent Systems and Technology
ACM Transactions on Intelligent Systems and Technology, ACM, 2019, 1 (1), 22p. ⟨10.1145/3347452⟩

The emergence of smart meters has fostered the collection of massive data that support a better understanding of consumer behaviors and better management of water resources and networks. The main focus of this article is to analyze consumption behavi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b19e03c3cf06a5aebefeeffeaa692a9
https://hal.archives-ouvertes.fr/hal-02278251/file/doc00030758.pdf

An Incremental Sensor Placement Optimization in a Large Real-World Water System

Autor: Anne Lang, Anne-Claire Sandraz, Cédric Féliers, Olivier Piller, Denis Gilbert, Nicolas Cheifetz

Publikováno v: Procedia Engineering. 119:947-952

Supplying modern water systems in smart cities requires the ability to monitor water quality in the production plants and the distribution network. Protection against accidental or intentional events is usually based on an Early Warning Detection Sys

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c6a71f12c702a63e8802333bbe9b5a4

Modeling and Clustering Water Demand Patterns from Real-World Smart Meter Data

Autor: Zineb Noumir, Véronique Heim, Allou Samé, Nicolas Cheifetz, Cédric Féliers, Anne-Claire Sandraz

Publikováno v: Drinking Water Engineering and Science
Drinking Water Engineering and Science, 2017, 2 (10), pp. 75-82. ⟨10.5194/dwes-10-75-2017⟩
Drinking Water Engineering and Science, Vol 10, Pp 75-82 (2017)

Nowadays, drinking water utilities need an acute comprehension of the water demand on their distribution network, in order to efficiently operate the optimization of resources, the management of billing and to propose new customer services. With the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40344de0b77a4cd70361f2b08105295e
https://hal.archives-ouvertes.fr/hal-01583253v2/file/doc00027528.pdf