Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mahdjouba Akerma"'
Autor:
Mahdjouba Akerma, Nedra Mellouli, Hong-Minh Hoang, Denis Leducq, Anthony Delahaye, A. Le Montagner
Publikováno v:
International Journal of Refrigeration
International Journal of Refrigeration, Elsevier, 2021, ⟨10.1016/j.ijrefrig.2021.07.029⟩
International Journal of Refrigeration, Elsevier, 2021, ⟨10.1016/j.ijrefrig.2021.07.029⟩
Food warehouses and cold rooms have a significant potential for Demand Response (DR) application (stopping or reducing the power of fans and compressors of the refrigeration system) due to thermal inertia of food products. However, as air and food te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba88ce73aff40145e918e6c3ba9a0bfb
https://hal.inrae.fr/hal-03321382
https://hal.inrae.fr/hal-03321382
Publikováno v:
International Journal of Refrigeration
International Journal of Refrigeration, Elsevier, 2020, 113, pp.256-265. ⟨10.1016/j.ijrefrig.2020.02.006⟩
International Journal of Refrigeration, Elsevier, 2020, 113, pp.256-265. ⟨10.1016/j.ijrefrig.2020.02.006⟩
International audience; Demand response (DR) is one of the energy management strategies that can relieve the strain on power grid by balancing the energy consumption and production. Cold storage in warehouses and cold rooms, due to the high thermal i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbfd2d91d2c1e84be50db7a4518c044d
https://hal.inrae.fr/hal-03176192
https://hal.inrae.fr/hal-03176192
Publikováno v:
11th International Conference on Knowledge Discovery and Information Retrieval
11th International Conference on Knowledge Discovery and Information Retrieval, Sep 2019, Vienna, France. pp.384-391, ⟨10.5220/0008168203840391⟩
KDIR
11th International Conference on Knowledge Discovery and Information Retrieval, Sep 2019, Vienna, France. pp.384-391, ⟨10.5220/0008168203840391⟩
KDIR
We propose to study the dynamic behavior of indoor temperature and energy consumption in a cold room during demand response periods. Demand response is a method that consists of smoothing demand over time, seeking to reduce or even stop consumption d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::403339cb564f2454dcd02cfbeb7a91fe
https://hal.inrae.fr/hal-03321411
https://hal.inrae.fr/hal-03321411
Publikováno v:
Computational Collective Intelligence ISBN: 9783030283735
ICCCI (2)
Computational Collective Intelligence
Computational Collective Intelligence, pp.133-144, 2019, ⟨10.1007/978-3-030-28374-2_12⟩
ICCCI (2)
Computational Collective Intelligence
Computational Collective Intelligence, pp.133-144, 2019, ⟨10.1007/978-3-030-28374-2_12⟩
We propose to study the dynamic behavior of indoor temperature and energy consumption in a cold room during demand response periods. Demand response is a method that consists in smoothing demand over time, seeking to reduce or even stop consumption d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0feaf8dadfa4e2c687f8244cc1813489
https://doi.org/10.1007/978-3-030-28374-2_12
https://doi.org/10.1007/978-3-030-28374-2_12
Publikováno v:
ISC2
The strong growth of renewable energy and new technologies makes necessary the adaptation of electricity network and the application of energy management solutions for the equilibrium between energy consumption and production. In this context, electr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a441d7eb8dff7e02a156613bfa781b19
https://doi.org/10.1109/isc2.2018.8656808
https://doi.org/10.1109/isc2.2018.8656808
This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational Collective Intelligence, ICCCI 2019, held in Hendaye France, in September 2019.The 117 full papers presented we