Biography:
Eugenio Francisco Sánchez Úbeda received the Electronic Engineering degree and the 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 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 seventy research projects related to this field, in collaboration with European utilities.
Areas of interest:
Machine learning – Forecasting – Data analysis and visualization - Non-linear statistical modeling - Deep learning
JCR: 5,400 Q1 (2022); - SJR: 1,225 Q1 (2022); 
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); 3,200 Q3 (2022) - SJR: 0,598 Q2 (2020); 0,632 Q1 (2022)
JCR: 3,779 Q1 (2020); 7,900 Q1 (2022) - SJR: 1,268 Q1 (2020); 1,972 Q1 (2022) 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); 3,200 Q3 (2022) - SJR: 0,598 Q2 (2020); 0,632 Q1 (2022) 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); 3,200 Q3 (2022) - SJR: 0,598 Q2 (2020); 0,632 Q1 (2022)
JCR: 2,383 Q1 (2018); 2,200 Q1 (2022) - SJR: Q1 (2018); 0,940 Q1 (2022)
JCR: 1,483 Q3 (2017); 3,400 Q2 (2022) - SJR: Q2 (2017); 0,732 Q2 (2022)
JCR: 5,255 Q1 (2017); 6,600 Q1 (2022) - SJR: Q1 (2017); 3,726 Q1 (2022)
JCR: 5,680 Q1 (2016); 6,600 Q1 (2022) - SJR: Q1 (2016); 3,726 Q1 (2022) 
