Biography:
Antonio Muñoz San Roque obtained the PhD (1996) and the MSc (1991) degrees in Electrical and Electronics Engineering from the Universidad Pontificia Comillas, Madrid. He joined the Institute for Research in Technology (IIT) in 1992 where he is now a research fellow in the Intelligent Systems Research Area. He is a Professor of the Electronics Department at the ICAI School of Engineering of the Universidad Pontificia Comillas. His areas of interest include the application of Artificial Intelligence and Machine Learning techniques to the monitoring and diagnosis of industrial processes, nonlinear time series forecasting and Data analytics and Machine Learning in electricity markets. At the IIT he became Deputy Director in 2002 and Director of the Institute from 2008 to 2010. In 2010 he was appointed as Vice-dean for Academic Affairs at the Engineering School until 2018, when he was elected as Dean.
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.
JCR: 5,400 Q1 (2022); - SJR: 1,225 Q1 (2022); 
Pizarroso, J., Portela, J., Muñoz, A., NeuralSens: sensitivity analysis of neural networks. Journal of Statistical Software. Vol. 102, nº. 7, pp. 1 - 36, April 2022.
JCR: 5,800 Q1 (2022); - SJR: 2,722 Q1 (2022);
JCR: 2,035 Q2 (2021); 1,800 Q2 (2022) - SJR: 1,016 Q1 (2021); 0,877 Q1 (2022)
JCR: 4,630 Q1 (2020); 5,200 Q1 (2022) - SJR: 1,050 Q1 (2020); 1,533 Q1 (2022)
JCR: 3,779 Q1 (2020); 7,900 Q1 (2022) - SJR: 1,268 Q1 (2020); 1,972 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: 6,807 Q1 (2018); 6,600 Q1 (2022) - SJR: Q1 (2018); 3,726 Q1 (2022)
JCR: 5,255 Q1 (2017); 6,600 Q1 (2022) - SJR: Q1 (2017); 3,726 Q1 (2022)
JCR: 5,255 Q1 (2017); 6,600 Q1 (2022) - SJR: Q1 (2017); 3,726 Q1 (2022) Bello, A., Bunn, D.W., Reneses, J., Muñoz, A., Parametric density recalibration of a fundamental market model to forecast electricity prices. Energies. Vol. 9, nº. 11, pp. 959-1 - 959-15, November 2016. [Online: November 2016]
JCR: 2,262 Q3 (2016); 3,200 Q3 (2022) - SJR: Q1 (2016); 0,632 Q1 (2022)
JCR: Q1 (2016); 7,900 Q1 (2022) - SJR: Q1 (2016); 1,972 Q1 (2022)
JCR: 5,680 Q1 (2016); 6,600 Q1 (2022) - SJR: Q1 (2016); 3,726 Q1 (2022) Bello, A., Reneses, J., Muñoz, A., Medium-term probabilistic forecasting of extremely low prices in electricity markets: application to the Spanish case. Energies. Vol. 9, nº. 3, pp. 193-1 - 193-27, March 2016. [Online: March 2016]
JCR: 2,262 Q3 (2016); 3,200 Q3 (2022) - SJR: Q1 (2016); 0,632 Q1 (2022)
JCR: 3,530 Q1 (2013); 6,600 Q1 (2022) - SJR: Q1 (2013); 3,726 Q1 (2022)
JCR: 0,788 Q3 (2013); 1,500 Q4 (2022) - SJR: Q1 (2013); 0,516 Q2 (2022)
JCR: 2,921 Q1 (2012); 6,600 Q1 (2022) - SJR: Q1 (2012); 3,726 Q1 (2022)
JCR: 1,478 Q2 (2011); 3,900 Q2 (2022) - SJR: Q1 (2011); 1,099 Q1 (2022)
JCR: 1,654 (2007); 3,600 Q1 (2022) - SJR: 0,841 Q1 (2022)
JCR: 0,580 (2007); 3,100 Q3 (2022) - SJR: 0,615 Q2 (2022)
JCR: 0,951 (2005); 6,600 Q1 (2022) - SJR: 3,726 Q1 (2022)
JCR: 6,000 Q2 (2022) - SJR: 1,481 Q1 (2022) 
