Výsledky vyhledávání - "Josep Cirera"

Akademický článek

Data Analytics for Performance Evaluation Under Uncertainties Applied to an Industrial Refrigeration Plant

Autor: Josep Cirera, Jesus A. Carino, Daniel Zurita, Juan A. Ortega

Publikováno v: IEEE Access, Vol 7, Pp 64127-64135 (2019)

Artificial intelligence has bounced into industrial applications contributing several advantages to the field and have led to the possibility to open new ways to solve many actual problems. In this paper, a data-driven performance evaluation methodol

Externí odkaz: https://doaj.org/article/3f9de6fcf887466f91193e4ba1607389

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A data-driven-based industrial refrigeration optimization method considering demand forecasting

Autor: Juan Antonio Ortega, Josep Cirera, Daniel Zurita, Jesus A. Carino

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Processes
Volume 8
Issue 5
Processes, Vol 8, Iss 617, p 617 (2020)

One of the main concerns of industry is energy efficiency, in which the paradigm of Industry 4.0 opens new possibilities by facing optimization approaches using data-driven methodologies. In this regard, increasing the efficiency of industrial refrig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8d913aeb57b6a375af920405aa7f216
http://hdl.handle.net/2117/192197

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Semisupervised refrigeration plant cooling disaggregation by means of deep neural network ensemble

Autor: Juan Antonio Ortega, Jesus A. Carino, Daniel Zurita, Josep Cirera

Publikováno v: ISIE
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

The awareness of the energy usage has become a recurrent topic during the last decades. Identifying the end-use energy of each individual device can lead to a substantial improvement in efficiency and fault detection. The cost of instrumentation and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::887c9025222d9df47ffaa55c9ae37dc5
https://doi.org/10.1109/isie.2019.8781335

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Improving the Energy Efficiency of Industrial Refrigeration Systems by Means of Data-Driven Load Management

Autor: Juan Antonio Ortega, Jesus A. Carino, Daniel Zurita, Josep Cirera

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Processes, Vol 8, Iss 1106, p 1106 (2020)
Processes
Volume 8
Issue 9

A common denominator in the vast majority of processes in the food industry is refrigeration. Such systems guarantee the quality and the requisites of the final product at the expense of high amounts of energy. In this regard, the new Industry 4.0 fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e434f5e2cbcac9762cb2f6c3540d7679
https://doi.org/10.3390/pr8091106

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Data-driven operation performance evaluation of multi-chiller system using self-organizing maps

Autor: Juan Antonio Ortega, Jesus A. Carino, Maria Quiles, Josep Cirera, Daniel Zurita

Publikováno v: ICIT
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acfd0e8d91bff982a7b14a3f4c12195d
https://hdl.handle.net/2117/123555

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