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.
Lumbreras, S., Tejada, D.A., Elechiguerra, D., Explaining the solutions of the unit commitment with interpretable machine learning. International Journal of Electrical Power & Energy Systems. Vol. 160, pp. 110106-1 - 110106-13, September 2024. [Online: June 2024] 
JCR: 5,000 Q1 (2023) - SJR: 1,711 Q1 (2023) 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: 5,000 Q1 (2023) - SJR: 1,711 Q1 (2023) Wogrin, S., Tejada, D.A., Delikaraoglou, S., Lamadrid, A.J., Botterud, A., The impact of convexity on expansion planning in low-carbon electricity markets. TOP. Vol. 30, nº. 3, pp. 574 - 593, October 2022. [Online: June 2022]
JCR: 1,700 Q4 (2022); 1,500 Q3 (2023) - SJR: 0,671 Q2 (2022); 0,631 Q2 (2023) Wogrin, S., Tejada, D.A., Gaugl, R., Klatzer, T., Bachhiesl, U., LEGO: The open-source Low-carbon Expansion Generation Optimization model. SoftwareX. Vol. 19, pp. 101141-1 - 101141-7, July 2022. [Online: July 2022]
JCR: 3,400 Q2 (2022); 2,400 Q2 (2023) - SJR: 0,574 Q2 (2022); 0,544 Q2 (2023)
JCR: 4,019 Q2 (2021); 4,300 Q1 (2023) - SJR: 0,973 Q1 (2021); 0,870 Q1 (2023)
JCR: 9,746 Q1 (2020); 10,100 Q1 (2023) - SJR: 3,035 Q1 (2020); 2,820 Q1 (2023)
JCR: 6,663 Q1 (2020); 6,500 Q1 (2023) - SJR: 3,312 Q1 (2020); 3,827 Q1 (2023) 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); 6,500 Q1 (2023) - SJR: 3,312 Q1 (2020); 3,827 Q1 (2023)
JCR: 6,082 Q1 (2019); 9,000 Q1 (2023) - SJR: 2,166 Q1 (2019); 2,110 Q1 (2023)
JCR: 6,074 Q1 (2019); 6,500 Q1 (2023) - SJR: 3,434 Q1 (2019); 3,827 Q1 (2023)
JCR: 8,848 Q1 (2019); 10,100 Q1 (2023) - SJR: 3,607 Q1 (2019); 2,820 Q1 (2023)
JCR: 3,605 Q1 (2018); 2,600 Q2 (2023) - SJR: Q2 (2018); 0,859 Q2 (2023) 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); 6,500 Q1 (2023) - SJR: Q1 (2018); 3,827 Q1 (2023)
JCR: 6,807 Q1 (2018); 6,500 Q1 (2023) - SJR: Q1 (2018); 3,827 Q1 (2023)
JCR: 6,807 Q1 (2018); 6,500 Q1 (2023) - SJR: Q1 (2018); 3,827 Q1 (2023)
JCR: 7,182 Q1 (2016); 10,100 Q1 (2023) - SJR: Q1 (2016); 2,820 Q1 (2023)
JCR: 2,587 Q1 (2015); 5,000 Q1 (2023) - SJR: 1,711 Q1 (2023)
JCR: 1,749 Q2 (2014); 3,300 Q2 (2023) - SJR: Q1 (2014); 1,029 Q1 (2023) 
