Deep Learning Models for Time Series Forecasting of Indoor Temperature and Energy Consumption in a Cold Room - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Book Sections Year : 2019

Deep Learning Models for Time Series Forecasting of Indoor Temperature and Energy Consumption in a Cold Room

Nédra Mellouli
  • Function : Author
Laboratoire d'Informatique Avancée de Saint-Denis
Mahdjouba Akerma
  • Function : Author
Génie des procédés frigorifiques
Hong-Minh Hoang
Génie des procédés frigorifiques
CV
Denis Leducq
Génie des procédés frigorifiques
Anthony Delahaye
Génie des procédés frigorifiques
CV

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Neural and Evolutionary Computing [cs.NE] Chemical and Process Engineering

Hong Minh LE HOANG  : Connect in order to contact the contributor

https://hal.inrae.fr/hal-03321425

Submitted on : Tuesday, August 17, 2021-4:19:18 PM

Last modification on : Thursday, August 31, 2023-6:43:41 PM

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hal-03321425 , version 1 (17-08-2021)

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Nédra Mellouli, Mahdjouba Akerma, Hong-Minh Hoang, Denis Leducq, Anthony Delahaye. Deep Learning Models for Time Series Forecasting of Indoor Temperature and Energy Consumption in a Cold Room. Computational Collective Intelligence, pp.133-144, 2019, ⟨10.1007/978-3-030-28374-2_12⟩. ⟨hal-03321425⟩

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