Pliego Marugán, Alberto

Quantitative Methods

PhD: Universidad de Castilla-La Mancha

Office D4-27

Biography

Alberto Pliego is an Associate Professor in the Department of Quantitative Methods at CUNEF Universidad. He holds a European PhD with Cum Laude distinction in Industrial Engineering from the University of Castilla-La Mancha (UCLM, 2016). He has been a visiting researcher at Drexel University (Philadelphia, USA) and the University of Birmingham (UK). He holds a sex-year period accreditation by ANECA. His research focuses on the development of intelligent algorithms for maintenance optimization, particularly in renewable energy systems. He has numerous international publications. His work has received over 2,400 citations on Google Scholar. He is currently PI of the FOWFAM research project.

Most relevant publications

Pliego-Marugán, Alberto: "Applications of Reinforcement Learning for maintenance of engineering systems: A review", Advances in Engineering Software, 183, Art. 103487, 2023.

Pliego-Marugán, Alberto; García-Márquez, Fausto Pedro; Pinar-Pérez, Jesús María: "A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers", Renewable and Sustainable Energy Reviews, 168, Art. 112753, 2022.

Peinado A.; Pliego Marugán A.; García F.P. : "Survey of maintenance management for photovoltaic power systems", Renewable and Sustainable Energy Reviews, 2020.

Pliego Marugán A.; Peco A.; García F.P. : "Reliability analysis of detecting false alarms that employ neural networks: A real case study on wind turbines", Reliability Engineering & System Safety, 2019.

Pliego-Marugán, Alberto; García-Márquez, Fausto Pedro; Pinar-Pérez, Jesús María; Ruiz-Hernández, Diego: "A survey of artificial neural network in wind energy systems", Applied Energy, 228, 1822-1836, 2018.

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