Biography:
Antonio Muñoz San Roque obtained his PhD (1996) and MSc (1991) degrees in Electrical and Electronics Engineering from Universidad Pontificia Comillas in Madrid.
He joined the Institute for Research in Technology (IIT) in 1992, where he is currently a Research Fellow in the Intelligent Systems area. He is also Full Professor in the Department of Electronics at the ICAI School of Engineering, Universidad Pontificia Comillas.
His research interests focus on the application of Artificial Intelligence and Machine Learning to the monitoring and diagnosis of industrial processes, nonlinear time series forecasting, and the use of data analytics and machine learning in electricity markets.
Over the course of his academic career, he has held several positions, including Deputy Director of IIT (2000–2004), Head of the Department of Electronics and Automation at ICAI (2004–2008), Director of IIT (2008–2010), Vice Dean for Academic Affairs (2010–2018), and Dean of the ICAI School of Engineering (2018–2025).
Areas of interest:
Time series forecasting. Machine learning. Application of Artificial Intelligence techniques to the operation and maintenance of industrial processes. Electricity markets analysis and optimal operation.
F.J. Bellido-López, M.A. Sanz-Bobi, A. Muñoz, D. González-Calvo, T. Álvarez Tejedor, "A novel method for evaluation of the maintenance impact in the health of industrial components", Results in Engineering, Vol. 27, pp. 105809, September 2025. [Online: June 2025] doi: 10.1016/j.rineng.2025.105809
F. Rodríguez-Cuenca, E.F. Sánchez-Úbeda, J. Portela, A. Muñoz, V. Guizien, A. Veiga, A. Mateo, "Television usage recommendations for energy efficiency: A Probabilistic methodology based on the Wasserstein distance", Energy, Vol. 322, pp. 135410, May 2025. [Online: March 2025] doi: 10.1016/j.energy.2025.135410
E.F. Sánchez-Úbeda, J. Portela, A. Muñoz, E. Chueca, M. Carvalho, "Impact of COVID-19 on electricity demand of Latin America and the Caribbean countries", Sustainable Energy, Grids and Networks, Vol. 30, pp. 100610, June 2022. [Online: January 2022] doi: 10.1016/j.segan.2022.100610
M.C. Rubiales Mena, A. Muñoz, M.A. Sanz-Bobi, D. González-Calvo, T. Álvarez Tejedor, "Time Series-Based Anomaly Detection in Gas Turbines Using TimeWGAN-GP", IEEE Access, Vol. 14, pp. 113355 - 113377, 2026. [Online: July 2026] doi: 10.1109/ACCESS.2026.3715914
E. Insunza Díaz, C. de los Santos Jiménez, A. Muñoz, J. Portela, I. Kusano, H. Rostro-González, "Evaluating the impact of Numerical Weather Prediction variables on wind power forecasting: A case study of the Alpha Ventus offshore wind farm", Energy and AI, Vol. 24, pp. 100695, May 2026. [Online: February 2026] doi: 10.1016/j.egyai.2026.100695
M.A. Sanz-Bobi, I. Rodríguez-Muñoz-de-Baena, F.J. Bellido-López, A. Muñoz, J. Anguera, D. González-Calvo, T. Álvarez Tejedor, "TD3 Reinforcement Learning Algorithm Used for Health Condition Monitoring of a Cooling Water Pump", Computers, Vol. 14, nº. 12, pp. 540, December 2025. [Online: December 2025] doi: 10.3390/computers14120540
F.J. Bellido-López, M.A. Sanz-Bobi, A. Muñoz, D. González-Calvo, T. Álvarez Tejedor, "Maintenance-Aware Risk Curves: Correcting Degradation Models with Intervention Effectiveness", Applied Sciences, Vol. 15, nº. 20, pp. 10998, October 2025. [Online: October 2025] doi: 10.3390/app152010998
F.J. Bellido-López, M.A. Sanz-Bobi, A. Muñoz, D. González-Calvo, T. Álvarez Tejedor, "A novel method for evaluation of the maintenance impact in the health of industrial components", Results in Engineering, Vol. 27, pp. 105809, September 2025. [Online: June 2025] doi: 10.1016/j.rineng.2025.105809
F. Rodríguez-Cuenca, E.F. Sánchez-Úbeda, J. Portela, A. Muñoz, V. Guizien, A. Veiga, A. Mateo, "Television usage recommendations for energy efficiency: A Probabilistic methodology based on the Wasserstein distance", Energy, Vol. 322, pp. 135410, May 2025. [Online: March 2025] doi: 10.1016/j.energy.2025.135410
C. Álvarez-Romero, A. Polo-Molina, E.F. Sánchez-Úbeda, C. Jiménez-de-Juan, M.P. Cuadri-Benitez, J.A. Rivas-González, J. Portela, R. Palacios, C. Rodríguez-Morcillo, A. Muñoz, C.L. Parra-Calderón, M.D. Nieto-Martin, M. Ollero-Baturone, C. Hernández-Quiles, "Machine learning–based prediction of changes in the clinical condition of patients with complex chronic diseases: 2-phase pilot prospective single-center observational study", JMIR Formative Research, Vol. 8, nº. 1, pp. e52344, 2024. [Online: April 2024] doi: 10.2196/52344
M. Casero, M.A. Sanz-Bobi, F.J. Bellido-López, A. Muñoz, D. González-Calvo, T. Álvarez Tejedor, "Efficiency monitoring of a cooling water pump based on machine learning techniques", International Journal of Prognostics and Health Management, Vol. 16, nº. 1, pp. 1 - 6, December 2024. [Online: January 2025] doi: 10.36001/ijphm.2025.v16i1.4160
P. Moreno Alonso, I. Figuerola-Ferretti Garrigues, A. Muñoz, "Forecasting oil prices with non-linear dynamic regression modeling", Energies, Vol. 17, nº. 9, pp. 2182, May 2024. [Online: May 2024] doi: 10.3390/en17092182
E.F. Sánchez-Úbeda, J. Portela, A. Muñoz, E. Chueca, M. Carvalho, "Impact of COVID-19 on electricity demand of Latin America and the Caribbean countries", Sustainable Energy, Grids and Networks, Vol. 30, pp. 100610, June 2022. [Online: January 2022] doi: 10.1016/j.segan.2022.100610
J. Pizarroso, J. Portela, A. Muñoz, "NeuralSens: sensitivity analysis of neural networks", Journal of Statistical Software, Vol. 102, nº. 7, pp. 1 - 36, April 2022. doi: 10.18637/jss.v102.i07
G. Mestre, E.F. Sánchez-Úbeda, A. Muñoz, E. Alonso, "The arithmetic of stepwise offer curves", Energy, Vol. 239, nº. Part E, pp. 122444, January 2022. [Online: October 2021] doi: 10.1016/j.energy.2021.122444
G. Mestre, J. Portela, A. Muñoz, E. Alonso, "Forecasting hourly supply curves in the Italian day-ahead electricity market with a double-seasonal SARMAHX model", International Journal of Electrical Power & Energy Systems, Vol. 121, pp. 106083, October 2020. [Online: April 2020] doi: 10.1016/j.ijepes.2020.106083
S. Moreno, E.F. Sánchez-Úbeda, A. Muñoz, "Rethinking weather station selection for electric load forecasting using genetic algorithms", International Journal of Forecasting, Vol. 36, nº. 2, pp. 695 - 712, June 2020. [Online: December 2019] doi: 10.1016/j.ijforecast.2019.08.008
S. Moreno, E.F. Sánchez-Úbeda, A. Muñoz, "Time series decomposition of the daily outdoor air temperature in Europe for long-term energy forecasting in the context of climate change", Energies, Vol. 13, nº. 7, pp. 1569, April 2020. [Online: March 2020] doi: 10.3390/en13071569
A. Bello, D.W. Bunn, J. Reneses, A. Muñoz, "Parametric density recalibration of a fundamental market model to forecast electricity prices", Energies, Vol. 9, nº. 11, pp. 959, November 2016. [Online: November 2016] doi: 10.3390/en9110959
A. Bello, J. Reneses, A. Muñoz, "Medium-term probabilistic forecasting of extremely low prices in electricity markets: application to the Spanish case", Energies, Vol. 9, nº. 3, pp. 193, March 2016. [Online: March 2016] doi: 10.3390/en9030193
A. Polo-Molina, E.F. Sánchez-Úbeda, J. Portela, R. Palacios, C. Rodríguez-Morcillo, A. Muñoz, C. Álvarez-Romero, C. Hernández-Quiles, "Analyzing mobility patterns of complex chronic patients using wearable activity trackers: a machine learning approach", presented at 9th International Conference on Time Series and Forecasting - ITISE 2023, Las Palmas de Gran Canaria, Spain, 12-14 July 2023. In: Engineering Proceedings, vol. 39, nº. 1, pp. 92-1/92-11, doi: 10.3390/engproc2023039092
F. Rodríguez-Cuenca, E.F. Sánchez-Úbeda, J. Portela, A. Muñoz, V. Guizien, A. Veiga, A. Mateo, "Probability density-based energy-saving recommendations for household refrigerating appliances", presented at 9th International Conference on Time Series and Forecasting - ITISE 2023, Las Palmas de Gran Canaria, Spain, 12-14 July 2023. In: Engineering Proceedings, vol. 39, nº. 1, pp. 43, doi: 10.3390/engproc2023039043
M.A. Sanz-Bobi, A. Muñoz, A. de Marcos, M. Bada, "Intelligent system for a remote diagnosis of a photovoltaic solar power plant", presented at 25th International Congress on Condition Monitoring and Diagnostics Engineering Management - COMADEM 2012, Huddersfield, United Kingdom, 18-20 June 2012. In: Journal of Physics: Conference Series, vol. 364, pp. 012119-1/012119-12, doi: 10.1088/1742-6596/364/1/012119
A. Muñoz, J. Portela, E.F. Sánchez-Úbeda, G. Mestre, "Analysis and forecasting of aggregate supply and demand curves in the European electricity market", in Economic forecasting and decisions with Big Data, D. Peña, et al. Ed(s). Madrid, Spain: Ed. Fundación de las Cajas de Ahorros (FUNCAS), 2024, pp. 185-224