Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Erik Maqueda"'
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110207- (2024)
In future smart grid environment, local energy markets will become a reality to provide flexibility. Consequently, it will be essential not only to implement accurate energy consumption forecasters at the building level to determine which buildings c
Externí odkaz:
https://doaj.org/article/6e3b84bb6ee549f0bde165f163112e7f
Publikováno v:
Engineering Proceedings, Vol 39, Iss 1, p 77 (2023)
Industry 4.0 has emerged together with relevant technological tools that have enabled the rise of this new industrial paradigm. One of the main employed tools is Machine Learning techniques, which allow us to extract knowledge from raw data and, ther
Externí odkaz:
https://doaj.org/article/14dde3fbae264157bff67e62b0e161b2
Machine learning based adaptive soft sensor for flash point inference in a refinery realtime process
Publikováno v:
Results in Engineering, Vol 13, Iss , Pp 100362- (2022)
In industrial control processes, certain characteristics are sometimes difficult to measure by a physical sensor due to technical and/or economic limitations. This fact is especially true in the petrochemical industry. Some of those quantities are es
Externí odkaz:
https://doaj.org/article/b71614fe70fb474fb1cdc3bfb3dafc80
Publikováno v:
Energies, Vol 16, Iss 2, p 861 (2023)
Computer modelling and digitalization are integral to the wind energy sector since they provide tools with which to improve the design and performance of wind turbines, and thus reduce both capital and operational costs. The massive sensor rollout an
Externí odkaz:
https://doaj.org/article/2ac66e7d66cb4f7eb414ae59019292d7
Autor:
Erik Maqueda
This report summarises the preliminary validation results of the different components developed in WP2, WP3 and WP4 for all the pilots and corresponding use cases. The validation is performed based on the KPIs identified in the validation plan as per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8290a2dc4034eb42cf4b7e468ddc609d
Autor:
Dognini, Alberto, Challagonda, Chandra, Moro, Erik Maqueda, Helmholt, Kristian, Madsen, Henrik, Daniele, Laura, Schmitt, Laurent, Temal, Lynda, Genest, Olivier, Calvez, Philippe, Ebrahimy, Razgar, Riemenschneider, Rolf, Böhm, Robert, Abbes, Sarra Ben
Publikováno v:
Dognini, A, Challagonda, C, Moro, E M, Helmholt, K, Madsen, H, Daniele, L, Schmitt, L, Temal, L, Genest, O, Calvez, P, Ebrahimy, R, Riemenschneider, R, Böhm, R & Abbes, S B 2022, Data Spaces for Energy, Home and Mobility . RWTH Aachen University . https://doi.org/10.5281/zenodo.7193318
The European Commission has promoted the deployment of the Digitalisation of Energy Action Plan (DoEAP), in order to develop an efficient, competitive market for a digital energy infrastructure and digital energy services that are both cyber-secure a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::74a3ba65b68033aff2cfec15bb1b5b48
https://orbit.dtu.dk/en/publications/1839d8a3-d152-4e5b-bb2e-9ae45033657f
https://orbit.dtu.dk/en/publications/1839d8a3-d152-4e5b-bb2e-9ae45033657f
Autor:
Izaskun Mendia, Eugenio Perea, Erik Maqueda, Javier Del Ser, Adelaida Lejarazu, Sergio Gil-Lopez, Iñaki Grau
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030623647
IDEAL (2)
IDEAL (2)
The concern of the industrial sector about the increase of energy costs has stimulated the development of new strategies for the effective management of energy consumption in industrial setups. Along with this growth, the irruption and continuous dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a69d5c0ec46ceb94b2755c1072a01dc
http://hdl.handle.net/11556/1032
http://hdl.handle.net/11556/1032
Autor:
Erik Maqueda
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030623616
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01b23ca3ae94b5451b03a906a588bef2
https://doi.org/10.1007/978-3-030-62362-3
https://doi.org/10.1007/978-3-030-62362-3