Biography:
Diego A. Tejada-Arango received his BSc degree in 2006, from the “Universidad Nacional”, in Medellin, Colombia, in electrical engineering, in 2013 he obtained a MSc degree in electrical engineering at Universidad de Antioquia, in Medellin, Colombia with the GIMEL Group; he is working towards a MSc in Research in Engineering Systems Modeling at Universidad Pontificia Comillas, in Madrid, Spain with the IIT. From 2005 to 2009, he was a consultant engineer at Ingeniería Especializada S.A. (IEB), Colombia, from 2009 to 2011, he was operational analyst at Interconexión Eléctrica S.A. (ISA), Colombia; and from 2011 to 2015, and he was part of the Planning Department of “XM S. A. E. S. P.,” Colombia. Nowadays, he is Research Assistant at the Energy Systems Modeling are at the Institute for Research in Technology (IIT) of Comillas Pontifical University in Madrid, and student of the \"Official Master\'s Degree in Research in Engineering Systems Modeling\". His research interests lie within development of modeling tools for the analysis and planning of the energy sector, in particular the generation capacity expansion problem.
Areas of interest:
Optimization. Unit Commitment. Generation and transmission expansion planning. Energy storage.
Morales-España, G., Hernández-Serna, R., Tejada, D.A., Weeda, M., Impact of large-scale hydrogen electrification and retrofitting of natural gas infrastructure on the European power system. International Journal of Electrical Power & Energy Systems. Vol. 155, nº. Part B, pp. 109686-1 - 109686-17, January 2024. [Online: November 2023] 
JCR: 5,200 Q1 (2022) - SJR: 1,533 Q1 (2022)
JCR: 4,019 Q2 (2021); 5,000 Q2 (2022) - SJR: 0,973 Q1 (2021); 0,637 Q1 (2022)
JCR: 9,746 Q1 (2020); 11,200 Q1 (2022) - SJR: 3,035 Q1 (2020); 2,907 Q1 (2022)
JCR: 6,663 Q1 (2020); 6,600 Q1 (2022) - SJR: 3,312 Q1 (2020); 3,726 Q1 (2022) Tejada, D.A., Morales-España, G., Wogrin, S., Centeno, E., Power-based generation expansion planning for flexibility requirements. IEEE Transactions on Power Systems. Vol. 35, nº. 3, pp. 2012 - 2023, May 2020. [Online: October 2019]
JCR: 6,663 Q1 (2020); 6,600 Q1 (2022) - SJR: 3,312 Q1 (2020); 3,726 Q1 (2022)
JCR: 6,082 Q1 (2019); 9,000 Q1 (2022) - SJR: 2,166 Q1 (2019); 1,989 Q1 (2022)
JCR: 6,074 Q1 (2019); 6,600 Q1 (2022) - SJR: 3,434 Q1 (2019); 3,726 Q1 (2022)
JCR: 8,848 Q1 (2019); 11,200 Q1 (2022) - SJR: 3,607 Q1 (2019); 2,907 Q1 (2022)
JCR: 3,605 Q1 (2018); 2,600 Q3 (2022) - SJR: Q2 (2018); 0,867 Q2 (2022) Tejada, D.A., Domeshek, M., Wogrin, S., Centeno, E., Enhanced representative days and system states modeling for energy storage investment analysis. IEEE Transactions on Power Systems. Vol. 33, nº. 6, pp. 6534 - 6544, November 2018. [Online: April 2018]
JCR: 6,807 Q1 (2018); 6,600 Q1 (2022) - SJR: Q1 (2018); 3,726 Q1 (2022)
JCR: 6,807 Q1 (2018); 6,600 Q1 (2022) - SJR: Q1 (2018); 3,726 Q1 (2022)
JCR: 6,807 Q1 (2018); 6,600 Q1 (2022) - SJR: Q1 (2018); 3,726 Q1 (2022)
JCR: 7,182 Q1 (2016); 11,200 Q1 (2022) - SJR: Q1 (2016); 2,907 Q1 (2022)
JCR: 2,587 Q1 (2015); 5,200 Q1 (2022) - SJR: 1,533 Q1 (2022)
JCR: 1,749 Q2 (2014); 3,900 Q2 (2022) - SJR: Q1 (2014); 1,099 Q1 (2022) 
