Biography:
Eugenio Francisco Sánchez Úbeda received an Electronic Engineering degree and a Ph.D. Degree from the Comillas University, Madrid, Spain, in 1991 and 1999, respectively. He is a Research Fellow at the Institute for Research in Technology (IIT), and an Associate Professor at ICAI School of Engineering of Comillas University, where he is a lecturer in Statistics, Machine Learning and Data Analysis. Since 1991, he has been working in the field of machine learning techniques and forecasting and its applications. He has participated actively in more than one hundred research projects related to this field, collaborating with European utilities.
Areas of interest:
Machine learning – Forecasting – Data analysis and visualization - Non-linear statistical modeling - Deep learning
Palacios, R., Fariña Fernández-Portillo, A., Sánchez-Úbeda, E.F., García-de-Zúñiga, P., HTB: a very effective method to protect web servers against BREACH attack to HTTPS. IEEE Access. Vol. 10, pp. 40381 - 40390, 2022. [Online: April 2022] 
JCR: 3,900 Q2 (2022); 3,400 Q2 (2023) - SJR: 0,926 Q1 (2022); 0,960 Q1 (2023)
JCR: 5,400 Q1 (2022); 4,800 Q1 (2023) - SJR: 1,225 Q1 (2022); 1,232 Q1 (2023) 
Mestre, G., Sánchez-Úbeda, E.F., Muñoz, A., Alonso, E., The arithmetic of stepwise offer curves. Energy. Vol. 239, nº. Part E, pp. 122444-1 - 122444-11, January 2022. [Online: October 2021]
JCR: 9,000 Q1 (2022); 9,000 Q1 (2023) - SJR: 1,989 Q1 (2022); 2,110 Q1 (2023) Sánchez-Úbeda, E.F., Sánchez, P., Torrego-Ellacuría, M., Del Rey-Mejías, A., Morales Contreras, M.F., Puerta, J.L., Flexibility and bed margins of the Community of Madrid’s hospitals during the first wave of the SARS-CoV-2 pandemic. International Journal of Environmental Research and Public Health. Vol. 18, nº. 7, pp. 3510-1 - 3510-22, April 2021. [Online: March 2021]
JCR: 4,614 Q1 (2021); - SJR: 0,814 Q1 (2021); Puente, C., Palacios, R., González-Arechavala, Y., Sánchez-Úbeda, E.F., Non-intrusive load monitoring (NILM) for energy disaggregation using soft computing techniques. Energies. Vol. 13, nº. 12, pp. 3117-1 - 3117-20, June 2020. [Online: June 2020]
JCR: 3,004 Q3 (2020); 3,000 Q3 (2023) - SJR: 0,598 Q2 (2020); 0,651 Q1 (2023)
JCR: 3,779 Q1 (2020); 6,900 Q1 (2023) - SJR: 1,268 Q1 (2020); 2,691 Q1 (2023) Domínguez-Barbero, D., García-González, J., Sanz-Bobi, M.A., Sánchez-Úbeda, E.F., Optimising a microgrid system by deep reinforcement learning techniques. Energies. Vol. 13, nº. 11, pp. 2830-1 - 2830-19, June 2020. [Online: June 2020]
JCR: 3,004 Q3 (2020); 3,000 Q3 (2023) - SJR: 0,598 Q2 (2020); 0,651 Q1 (2023) Moreno, S., Sánchez-Úbeda, E.F., Muñoz, A., 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. 1569-1 - 1569-28, April 2020. [Online: March 2020]
JCR: 3,004 Q3 (2020); 3,000 Q3 (2023) - SJR: 0,598 Q2 (2020); 0,651 Q1 (2023)
JCR: 2,383 Q1 (2018); 1,600 Q1 (2023) - SJR: Q1 (2018); 0,923 Q1 (2023)
JCR: 1,483 Q3 (2017); 2,300 Q2 (2023) - SJR: Q2 (2017); 0,629 Q2 (2023)
JCR: 5,255 Q1 (2017); 6,500 Q1 (2023) - SJR: Q1 (2017); 3,827 Q1 (2023)
JCR: 5,680 Q1 (2016); 6,500 Q1 (2023) - SJR: Q1 (2016); 3,827 Q1 (2023) 
