Publicaciones
Artículos
Fernandez, V., Pérez, V. y Roig, R. (2025). Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model. World Electric Vehicle Journal, 16(1), 5.BibTeX Citation
@Article{FdezPerezRoig_WEVJ_2025,
author = {Victor Fernandez and Virgilio Pérez and Rosa Roig},
title = {Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model},
journal = {World Electric Vehicle Journal},
year = {2025},
volume = {16},
number = {1},
pages = {5},
doi = {10.3390/wevj16010005},
url = {https://www.mdpi.com/2032-6653/16/1/5},
abstract = {The integration of Full Electric Vehicles (FEVs) into the smart city ecosystem is an essential step towards achieving sustainable urban mobility. This study presents a comprehensive mobility network model designed to predict and optimize the energy supply for FEVs within smart cities. The model integrates advanced components such as a Charge Station Control Center (CSCC), smart charging infrastructure, and a dynamic user interface. Important aspects include analyzing power consumption, forecasting urban energy demand, and monitoring the State of Charge (SoC) of FEV batteries using innovative algorithms validated through real-world applications in Valencia (Spain) and Ljubljana (Slovenia). Results indicate high accuracies in SoC tracking (error < 0.05%) and energy demand forecasting (MSE ~6 × 10−4), demonstrating the model’s reliability and adaptability across diverse urban environments. This research contributes to the development of resilient, efficient, and sustainable smart city frameworks, emphasizing real-time data-driven decision-making in energy and mobility management.}
}
BibTeX Citation
@Article{FdezPerez_NETS_2024,
author = {Victor Fernandez and Virgilio Pérez},
title = {A New Approach to Interoperability within the Smart City Based on Time Series-Embedded Adaptive Traffic Prediction Modelling},
journal = {Networks and Spatial Economics},
year = {2024},
doi = {10.1007/s11067-024-09662-y},
url = {https://doi.org/10.1007/s11067-024-09662-y},
abstract = {The rapid urbanization observed over recent decades has led to important challenges in urban mobility, notably traffic congestion, pollution, and inefficient energy consumption. Concurrently, the rise in electric vehicles (EVs) offers a promising shift towards sustainable urban transport yet introduces complexities such as the need for extensive charging infrastructure and effective energy demand management. This study addresses these challenges by proposing a predictive model for real-time and future traffic volume estimation, leveraging historical data, real-time information, scheduled city events, and the availability of EV charging infrastructure. The methodology proposed employs actuarial techniques to create a comprehensive framework that predicts traffic patterns and optimizes energy resources within smart cities. By integrating variables such as historical traffic patterns and real-time data, our model provides accurate traffic forecasts essential for urban planning and energy distribution. We utilize a time-series based algorithm to predict traffic, validated through real data from pilot projects in Ljubljana, Slovenia. The study’s findings underscore the model’s potential to enhance urban mobility and energy efficiency, providing a robust tool for city planners and policymakers.}
}
BibTeX Citation
@Article{PerezPavia_IIRR_2024,
author = {Virgilio Pérez and Jose M. Pavía},
title = {Automating the Transfer of Data between Census Sections and Postal Codes Areas Over Time. An application to Spain},
journal = {Investigaciones Regionales - Journal of Regional Research},
year = {2024},
doi = {10.38191/iirr-jorr.24.057},
url = {https://doi.org/10.38191/iirr-jorr.24.057},
abstract = {Cross-section and longitudinal spatial statistics and econometric models rely on spatially and temporally referenced data. Administrative units like cities, counties, and provinces provide stable data sources, enabling models to combine statistics collected at different times. In Spain, census sections serve as the smallest territorial units in which official statistics are delivered. These areas offer valuable statistics, such as population and housing censuses. Providing these statistics at the postcode level is also pertinent for conducting local analyses and surveys. The issue is that boundaries of census sections undergo regular updates, sometimes involving significant reorganization. The R-package sc2sc automates the transfer of variables between different census sections and postal codes. This paper introduces the package and outlines its methodology, which employs areal weighting to transfer counts and rates.}
}
BibTeX Citation
@Article{FdezPerez_AppSci_2024,
author = {Victor Fernandez and Virgilio Pérez},
title = {Optimization of Electric Vehicle Charging Control in a Demand-Side Management Context: A Model Predictive Control Approach},
journal = {Applied Sciences},
year = {2024},
volume = {14},
number = {19},
pages = {8736},
doi = {10.3390/app14198736},
url = {https://doi.org/10.3390/app14198736},
abstract = {In this paper, we propose a novel demand-side management (DSM) system designed to optimize electric vehicle (EV) charging at public stations using model predictive control (MPC). The system adjusts to real-time grid conditions, electricity prices, and user preferences, providing a dynamic approach to energy distribution in smart city infrastructures. The key focus of the study is on reducing peak loads and enhancing grid stability, while minimizing charging costs for end users. Simulations were conducted under various scenarios, demonstrating the effectiveness of the proposed system in mitigating peak demand and optimizing energy use. Additionally, the system’s flexibility enables the adjustment of charging schedules to meet both grid requirements and user needs, making it a scalable solution for smart city development. However, current limitations include the assumption of uniform tariffs and the absence of renewable energy considerations, both of which are critical in real-world applications. Future research will focus on addressing these issues, improving scalability, and integrating renewable energy sources. The proposed framework represents a significant step towards efficient energy management in urban settings, contributing to both cost savings and environmental sustainability.}
}
BibTeX Citation
@Article{PerezAybarPavia_AFS_2024,
author = {Virgilio Pérez Cristina Aybar and Jose M. Pavía},
title = {Expanding the New Roles of the Military—The Case of Spain’s Military Emergency Unit: A Research Note},
journal = {Armed Forces & Society},
year = {2024},
volume = {50},
number = {3},
pages = {827--838},
doi = {https://doi.org/10.1177/0095327X221130360},
url = {https://https://doi.org/10.1177/0095327X221130360},
abstract = {This note illustrates some of the new roles that armed forces are taking on in developed countries, highlighting the structure, capabilities, and missions developed by the Spanish Military Emergency Unit (UME). The note describes some of these new roles assumed by UME, such as its response to the COVID-19 pandemic, and shows, using official temporal and georeferenced data, the growing use of the military to support civilian authorities in response to natural disasters, man-made disasters, and other emergencies alike. In addition, we also analyze public opinion survey data to argue that this is helping to improve society’s perception of the armed forces even in a country like Spain where, due to its recent history, a significant part of its population is reluctant to the military. In short, the military is taking on more emergency roles as needs arise and these new roles can help to improve its perception by citizens.}
}
Pérez, V. y Aybar, C. (2024). Challenges in Geocoding: An Analysis of R Packages and Web Scraping Approaches, ISPRS International Journal of Geo-Information, 13(6), 170.
Aybar, C., Pérez, V. y Pavía, J.M. (2024). Scale Matters: Unravelling the Impact of Likert Scales on Political Self-Placement, Quality & Quantity, 58, 3725–3746.
Pérez, V., Aybar, C. y Pavía, J.M. (2022). Dataset of the COVID-19 Post-lockdown survey conducted by GIPEyOP in Spain. Data in Brief, 40, 107763.
Pérez, V., Aybar, C. y Pavía, J.M. (2022). Dataset of the COVID-19 Lockdown survey conducted by GIPEyOP in Spain. Data in Brief, 40, 107700.
Pérez, V., Aybar, C. y Pavía, J.M. (2021). Spanish electoral archive. SEA database, Scientific Data, 8, 193.
Pérez, V., Aybar, C. y Pavía, J.M. (2021). COVID-19 and changes in social habits. Restaurant terraces, a booming space in cities. The case of Madrid, Mathematics, 9, 2133.
Capítulos de Libro
Pérez, V. (2024). DataEnhanceUV: Plataforma colaborativa para el enriquecimiento de conjuntos de datos. En López-Meneses et al. (Eds), Calidad e Innovación Pedagógica, (pp. 1849-1856). Dykinson.
Pérez, V. (2023). Análisis Prospectivo y Business Intelligence. La elaboración de escenarios futuros como herramienta para mejorar la visión empresarial. En Eloy López y César Bernal (Eds.), Educación, tecnología, innovación y transferencia del conocimiento (pp. 1425-1437). Dykinson.
Pérez, V. (2022). RMarkdown como recurso de innovación docente. Caso de uso: Cálculo y Estadística en el Máster de Prevención de Riesgos Laborales. En David Cobos, Eloy López, Antonio Martín, Laura Molina y Alicia Jaén (Coords.), Educar para transformar: Innovación pedagógica, calidad y TIC en contextos formativos (pp. 2649-2654). Dykinson.
Pérez, V. (2022). La importancia de conocer los Objetivos de Desarrollo Sostenible: cómo motivar a los estudiantes de Economía en la Educación Secundaria. En David Cobos, Eloy López, Antonio Martín, Laura Molina y Alicia Jaén (Coords.), Educación y Sociedad: Pensamiento e innovación para la transformación social (pp. 1336-1341). Dykinson.
Pérez, V., Aybar, C. y Pavía, J.M. (2022). Enseñar estadística en tiempos de Covid. Elaboración de materiales adaptados al nuevo paradigma educativo. En Ema Elena Aveleyra y Melisa Alejandra Proyetti Martino (Coords.), Escenarios y recursos para la enseñanza con tecnología: desafíos y retos (pp. 218-229). Octaedro.
Pérez, V. (2021). Docencia universitaria online. La elaboración de recursos ad-hoc para la enseñanza de estadística en tiempos de COVID. En Alba Vico, Luisa Vega y Olga Buzón (Coords.), Entornos virtuales para la educación en tiempos de pandemia: perspectivas metodológicas (pp. 1572-1590). Dykinson.
Pérez, V. (2021). Enseñanza de Economía en la Educación Secundaria. Los ODS como mecanismo de motivación del alumnado. En Luisa Vega y Alba Vico (Coords.), Igualdad y calidad educativa: oportunidades y desafíos de la enseñanza (pp. 1755-1773). Dykinson.
Pérez, V. (2020). Implementación de metodologías docentes innovadoras en asignaturas de perfil cuantitativo. En Ernesto Colomo, Enrique Sánchez, Julio Ruiz y José Sánchez (Coords.), La tecnología como eje del cambio metodológico (pp. 544-547). UMA editorial.
Pérez, V. (2020). La importancia de las nuevas tecnologías en la docencia universitaria. El caso de las asignaturas cuantitativas en ciencias sociales. En Enrique Sánchez, Ernesto Colomo, Julio Ruiz y José Sánchez (Coords.), Tecnologías educativas y estrategias didácticas (pp. 372-380). UMA editorial.
Software
Pérez, V. y Pavía, J.M. (2024). sc2sc: Spatial Transfer of Statistics among Spanish Census Sections. R package version 0.0.1-14. https://CRAN.R-project.org/package=sc2sc
Congresos
Comité científico
6th International Conference on Advanced Research Methods and Analytics, CARMA 2024. 26-28 June, 2024. Valencia (Spain).
Ponencias
Pérez. V. (2024). Application of Big Data and AI in the analysis of national mobility: a pioneer study in Spain. Artificial Intelligence and Computational Technologies: Innovations, Usage Cases, and Ethical Considerations.
Pérez, V. y Pavía, J.M. (2024). Improving accuracy in geospatial information transfer: a population density-based approach. 6th International Conference on Advanced Research Methods and Analytics, CARMA, Valencia (Spain).
Aybar, C. Pérez, V. y Pavía, J.M. (2024). A holistic measurement of regional socio-economic growth. IV Conference on Current Issues in Business and Economics Studies, CIBES, Roma (Italia).
Pérez, V. (2024). DataEnhanceUV: herramientas educativas para un futuro profesional competitivo. IV International Conference on Electronic Voting Systems, ICEVS, Valencia (Spain).
Pérez, V. (2024). DataEnhanceUV: plataforma colaborativa para el enriquecimiento de conjuntos de datos. VII Congreso Internacional sobre Innovación Pedagógica y Praxis Educativa, INNOVAGOGÍA, Sevilla (Spain).
Pérez, V. y Pavía, J.M. (2023). sc2sc: An R Package for spatial transfer of statistics among Spanish census section partitions. 11th Seminar of Spatial Econometric Jean Paelinck, Cartagena (Spain).
Pérez, V. (2023). Análisis prospectivo y Business Intelligence. La elaboración de escenarios futuros como herramienta para mejorar la visión empresarial. I Congreso Internacional de Educación, Innovación y Transferencia del conocimiento, Sevilla (España).
Pérez, V. (2022). Inteligencia Artificial aplicada a la toma de decisiones en el sector público español: ventajas, desventajas y casos de uso. XI Congreso Internacional en Gobierno, Administración y Políticas Públicas, GIGAPP, Madrid (España).
Pérez, V. (2022). De la teoría a la práctica: explicar Economía en Secundaria a través de los Objetivos de Desarrollo Sostenible. VI Congreso Internacional sobre Innovación Pedagógica y Praxis Educativa, INNOVAGOGÍA, Sevilla (España).
Pérez, V. (2022). Aprendiendo estadística mediante el uso de RMarkdown. Aplicación práctica en el Máster de Prevención de Riesgos Laborales. VI Congreso Internacional sobre Innovación Pedagógica y Praxis Educativa, INNOVAGOGÍA, Sevilla (España).
Pérez, V., Aybar, C. and Pavía, J.M. (2022). Sobre la calidad del crecimiento, I Jornadas en Economía Sostenible y Previsiones Económicas, Valencia (Spain).
Pérez, V. (2022). The improvements offered by web scraping in R georeferencing packages, 10th International Conference Use of R in Official Statistics, uRos2022, Ottawa (Canada).
Pérez, V. (2021). Aproximaciones metodológicas para la obtención de bases de datos de calidad. Instrumentos de análisis del cambio social, I Workshop de Jóvenes Investigadores del Departamento de Economía Aplicada, IWJI-DEA, Valencia (España).
Pérez, V. (2021). Los Objetivos de Desarrollo Sostenible como elemento transversal en la enseñanza de economía, III Convención Científica Internacional de Ciencia, Tecnología y Sociedad, UCLV, Santa Clara (Cuba).
Pérez, V., Pavía, J.M. and Aybar, C. (2021). Over time robust estimation of subjective latent variables from cross-section repeated surveys under measurement error, International Conference on Robust Statistics, ICORS, Vienna (Austria).
Pérez, V., Aybar, C. and Pavía, J.M. (2021). Docencia universitaria en tiempos de COVID: el reto de impartir estadística a distancia, XXIV Congreso Internacional de Tecnología Educativa, EDUTEC, Buenos Aires (Argentina).
Pérez, V., Pavía, J.M. and Aybar, C. (2021). Minimising MSE in the rolling windows implementation, 9th International Conference Use of R in Official Statistics, uRos2021, Bucharest (Romania).
Pérez, V., Aybar, C. and Pavía, J.M. (2021). Convirtiendo datos en información de utilidad. Aplicación práctica empleando el Banco de datos del Centro de Investigaciones Sociológicas, XIV CLATSE, Congreso Latinoamericano de Sociedades de Estadística “Laura Nalbarte”, Montevideo (Uruguay).
Pérez, V., Aybar, C. and Pavía, J.M. (2021). Aumentando el tamaño muestral mediante el uso de dobles ventanas móviles, XIV CLATSE, Congreso Latinoamericano de Sociedades de Estadística “Laura Nalbarte”, Montevideo (Uruguay).
Pérez, V., Aybar, C. and Pavía, J.M. (2021). Political interest evolution in Spain, Elections, Public Opinion and Parties (EPOP) Conference, London (United Kingdom).
Pérez, V., Aybar, C. and Pavía, J.M. (2021). Increasing sample size by using rolling windows, International Conference on Trends and Perspectives in Linear Statistical Inference, LinStat, High Tratas (Slovakia).
Pérez, V. (2021). How to increase the sample size: the use of rolling windows, 44th Research Students’ Conference in Probability and Statistics, RSC, Lancaster (United Kingdom).
Pérez, V. (2021). La implementación de los ODS como elemento transversal en la enseñanza de economía, II Congreso Internacional de Innovación y Tendencias Educactivas, INNTED.
Pérez, V. (2021). Docencia universitaria en tiempos de COVID: el reto de impartir a distancia asignaturas de perfil cuantitativo, II Congreso Internacional de Innovación y Tendencias Educactivas, INNTED.
Pérez, V. y Aybar, C. (2021). El miedo, condicionante de los cambios de hábitos durante la COVID-19, Simposio Impactos Sociales del COVID-19. Miradas desde la Sociología, Madrid (España).
Pérez, V., Pavía, J.M. and Aybar, C. (2021). Increasing sample size through appropriate use of rolling windows, II International Applied Statistics Conference, UYIK, Tokat (Turkey).
Pérez, V. (2020). Implementación de metodologías docentes innovadoras en asignaturas de perfil cuantitativo, XXIII Congreso Internacional EDUTEC.