Person:
Arévalo Royo, Javier

Profile Picture

Email Address

person.page.identifierURI

https://academica-e.unavarra.es/handle/2454/50696

Birth Date

Research Projects

Organizational Units

Job Title

Last Name

Arévalo Royo

First Name

Javier

person.page.departamento

Ingeniería

person.page.instituteName

ORCID

0009-0002-6377-1200

person.page.upna

TA158423

Name

Filters

20241
Reset filters

Settings

Author: Flor Montalvo, Francisco Javier ×

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    PublicationOpen Access
    Cognitive systems for the energy efficiency industry
    (MDPI, 2024) Arévalo Royo, Javier; Latorre Biel, Juan Ignacio; Flor Montalvo, Francisco Javier; Pérez-Parte, Mercedes; Blanco Fernández, Julio; Ingeniería; Ingeniaritza
    This review underscores the pivotal role of Cognitive Systems (CS) in enhancing energy efficiency within the industrial sector, exploring the application of sophisticated algorithms, data analytics, and machine learning techniques to the real-time optimization of energy consumption. This methodology has the potential to reduce operational expenses and further diminish environmental repercussions; however, it also leverages data-driven insights and predictive maintenance to foresee equipment malfunctions and modulate energy utilization accordingly. The viability of integrating renewable energy sources is emphasized, supporting a transition towards sustainability. Furthermore, this research includes a bibliometric literature analysis from the past decade on the deployment of CS and Artificial Intelligence in enhancing industrial energy efficiency.