Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Alejandro J. del Real"'
Publikováno v:
Energies, Vol 14, Iss 23, p 8063 (2021)
This paper aims to provide the smart grid research community with an open and accessible general mathematical framework to develop and implement optimal flexibility mechanisms in large-scale network applications. The motivation of this paper is twofo
Externí odkaz:
https://doaj.org/article/1fb84f2d45c44c4c88e75f01c0027086
Publikováno v:
Energies, Vol 13, Iss 9, p 2242 (2020)
This paper investigates the use of deep learning techniques in order to perform energy demand forecasting. To this end, the authors propose a mixed architecture consisting of a convolutional neural network (CNN) coupled with an artificial neural netw
Externí odkaz:
https://doaj.org/article/a5cae2026cfc4d0ca98bc82200ea7675
Autor:
Vanessa Ferreira de Almeida, Carlos de la Cruz Perez, Luis David Servián Rivas, Maria Tripiana Serrano, Alejandro J. del Real
In this poster, the authors introduce the main characteristics of the Photo2Fuel project.The Photo2Fuel project will develop a breakthrough technology that converts CO2into useful fuels and chemicals by means of non-photosynthetic microorganisms and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8369dd91aa09a58149a3b637489f443a
This paper investigates the use of deep learning techniques to perform energy demand forecasting. Specifically, the authors have adapted a deep neural network originally thought for image classification and composed of a convolutional neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1d642a43ed43f6b3c02c083670b2743
https://doi.org/10.20944/preprints202003.0158.v1
https://doi.org/10.20944/preprints202003.0158.v1
Publikováno v:
Control Engineering Practice. 54:91-103
This article presents an economic case study on biomass and power dispatch focused on the olive oil extraction industry. A method is proposed to minimize the energy cost associated to olive oil production. This is realized through load shaping and op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c0826bb1df34b60a87bd134d179c94f
https://doi.org/10.1016/j.conengprac.2016.05.019
https://doi.org/10.1016/j.conengprac.2016.05.019
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Energies; Volume 13; Issue 9; Pages: 2242
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
Energies, Vol 13, Iss 2242, p 2242 (2020)
instname
Energies; Volume 13; Issue 9; Pages: 2242
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
Energies, Vol 13, Iss 2242, p 2242 (2020)
This paper investigates the use of deep learning techniques in order to perform energy demand forecasting. To this end, the authors propose a mixed architecture consisting of a convolutional neural network (CNN) coupled with an artificial neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::664e6c943c17ff688c7258ddb6d3e5ca
https://doi.org/10.3390/en13092242
https://doi.org/10.3390/en13092242
Publikováno v:
International Journal of Electrical Power & Energy Systems. 54:65-76
This paper presents an extended distributed model predictive control (DMPC) framework and its application to a smart grid case study. Specifically, a combined environmental and economic dispatch (EED) problem is formulated and solved, which is a non-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8bf9febbf91fddea6ca8c8d55d3b637
https://doi.org/10.1016/j.ijepes.2013.06.035
https://doi.org/10.1016/j.ijepes.2013.06.035
Publikováno v:
IFAC Proceedings Volumes. 44:12231-12236
This paper presents a controllability study of the water management inside anode channel by regulating the stack temperature for PEM fuel cell systems with dead-ended anode. Moreover, this work includes the design of a steady-state target optimizer w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::242824c198723c27ac325deee8e8770a
https://doi.org/10.3182/20110828-6-it-1002.02432
https://doi.org/10.3182/20110828-6-it-1002.02432
Publikováno v:
IEEE Transactions on Industrial Electronics. 57:1892-1905
Fuel cells represent an area of great industrial interest due to the possibility to generate clean energy for stationary and automotive applications. It is clear that the proper performance of these devices is closely related to the kind of control t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3540a33771b3a69345dbbf5e5cab644
https://doi.org/10.1109/tie.2009.2029524
https://doi.org/10.1109/tie.2009.2029524
Publikováno v:
Journal of Process Control. 19:1289-1304
In this paper, the performance and durability of hybrid PEM fuel cell vehicles are investigated. To that end, a hybrid predictive controller is proposed to improve battery performance and to avoid fuel cell and battery degradation. Such controller de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3efb654f081db24e5d82184180abdf66
https://doi.org/10.1016/j.jprocont.2009.03.004
https://doi.org/10.1016/j.jprocont.2009.03.004