Výsledky vyhledávání - "Juan M. Mauricio"

Akademický článek

A stochastic simulation-based approach for sizing DRES penetration level and BESS capacity in distribution grids

Autor: Aihui Fu, Aleksandra Lekić, Kyriaki-Nefeli D. Malamaki, Georgios C. Kryonidis, Juan M. Mauricio, Charis S. Demoulias, Peter Palensky, Miloš Cvetković

Publikováno v: International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110164- (2024)

The extensive integration of distributed renewable energy resources (DRES) can lead to several issues in power grids, particularly in distribution grids, due to their inherent intermittency. This paper presents a stochastic simulation-based approach

Externí odkaz: https://doaj.org/article/8fe3c99485774f8287c15f42f08833da

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Akademický článek

A Soft Sensor for Flow Estimation and Uncertainty Analysis Based on Artificial Intelligence: A Case Study of Water Supply Systems

Autor: Gabryel M. Raposo de Alencar, Fernanda M. Lima Fernandes, Rafael Moura Duarte, Petrônio Ferreira de Melo, Altamar Alencar Cardoso, Heber Pimentel Gomes, Juan M. Mauricio Villanueva

Publikováno v: Automation, Vol 5, Iss 2, Pp 106-127 (2024)

The fourth industrial revolution has transformed the industry, with information technology playing a crucial role in this shift. The increasing digitization of industrial systems demands efficient sensing and control methods, giving rise to soft sens

Externí odkaz: https://doaj.org/article/cb5da352da964c998cbb8fe78fb04eba

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Akademický článek

Uncertainty Evaluation of a Gas Turbine Model Based on a Nonlinear Autoregressive Exogenous Model and Monte Carlo Dropout

Autor: Armando Cajahuaringa, Rubén Aquize Palacios, Juan M. Mauricio Villanueva, Aurelio Morales-Villanueva, José Machuca, Juan Contreras, Kiara Rodríguez Bautista

Publikováno v: Sensors, Vol 24, Iss 2, p 465 (2024)

Gas turbines are thermoelectric plants with various applications, such as large-scale electricity production, petrochemical industry, and steam generation. In order to optimize the operation of a gas turbine, it is necessary to develop system identif

Externí odkaz: https://doaj.org/article/8bdd4614515d4249b16f2672e1a825c2

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Akademický článek

System Identification Methodology of a Gas Turbine Based on Artificial Recurrent Neural Networks

Autor: Rubén Aquize, Armando Cajahuaringa, José Machuca, David Mauricio, Juan M. Mauricio Villanueva

Publikováno v: Sensors, Vol 23, Iss 4, p 2231 (2023)

The application of identification techniques using artificial intelligence to the gas turbine (GT), whose nonlinear dynamic behavior is difficult to describe through differential equations and the laws of physics, has begun to gain importance for a l

Externí odkaz: https://doaj.org/article/103ac0a1630b4c33bd33d0fe605178c5

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Akademický článek

Ancillary Services in Hybrid AC/DC Low Voltage Distribution Networks

Autor: José M. Maza-Ortega, Juan M. Mauricio, Manuel Barragán-Villarejo, Charis Demoulias, Antonio Gómez-Expósito

Publikováno v: Energies, Vol 12, Iss 19, p 3591 (2019)

In the last decade, distribution systems are experiencing a drastic transformation with the advent of new technologies. In fact, distribution networks are no longer passive systems, considering the current integration rates of new agents such as dist

Externí odkaz: https://doaj.org/article/32bc6e7eac444f40ae8ae6c7057592e8

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Akademický článek

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