Biography:
Geovanny Marulanda obtained the Electrical Engineer and Master in Electrical Engineering degrees at the Universidad Tecnológica de Pereira (Colombia). In his master thesis project, he evaluated the impact of demand response in electricity markets on natural gas systems. He has worked as a lecturer of Power Systems Analysis, Energy Transmission Systems and Electrical Machines courses for eight years. In September 2018, he joined the Institute of Technological Research (IIT) of the Universidad Pontificia Comillas where he works as a Research Assistant in the Decision Support Systems in the Energy Sector area supporting projects related with market models for electricity and gas systems.
Areas of interest:
Energy policy for renewable energy integration in power systems, Decisions taking under uncertainty, Power system planning, Equilibrium models.
Experience:
8 years of teaching experience guiding courses of Power Systems Analysis, Power transmission systems, Operation and planning in electrical systems, and Electrical machines. 2 years as a support engineer at Universidad Tecnológica de Pereira (Colombia) in agreements with the Latin American Energy Organization (OLADE), Energy and Gas Regulation Commission (CREG) and XM.
Skills:
Programming: Matlab, Gams, R y VBA.
Current research interests:
Models to assess the impact of emissions policy in multi-area electricity markets. Models to include renewable energy uncertainty in power systems planning.
Marulanda, G., Bello, A., Reneses, J. Modeling wind energy imbalance risk in medium-term generation planning models: a methodological proposal for large scale applications. International Journal of Electrical Power & Energy Systems. Vol. 157, pp. 109889-1 - 109889-13, June 2024. [Online: February 2024] 
JCR: 5,200 Q1 (2022) - SJR: 1,533 Q1 (2022)
JCR: 4,200 Q1 (2022) - SJR: 0,814 Q1 (2022) Mora, E., Cifuentes, J., Marulanda, G. Short-term forecasting of wind energy: a comparison of deep learning frameworks. Energies. Vol. 14, nº. 23, pp. 7943-1 - 7493-26, December 2021. [Online: November 2021]
JCR: 3,252 Q3 (2021); 3,200 Q3 (2022) - SJR: 0,653 Q1 (2021); 0,632 Q1 (2022) Cifuentes, J., Marulanda, G., Bello, A., Reneses, J. Air temperature forecasting using machine learning techniques: a review. Energies. Vol. 13, nº. 16, pp. 4215-1 - 4215-28, August 2020. [Online: August 2020]
JCR: 3,004 Q3 (2020); 3,200 Q3 (2022) - SJR: 0,598 Q2 (2020); 0,632 Q1 (2022) Marulanda, G., Bello, A., Cifuentes, J., Reneses, J. Wind power long-term scenario generation considering spatial-temporal dependencies in coupled electricity markets. Energies. Vol. 13, nº. 13, pp. 3427-1 - 3427-19, July 2020. [Online: July 2020]
JCR: 3,004 Q3 (2020); 3,200 Q3 (2022) - SJR: 0,598 Q2 (2020); 0,632 Q1 (2022) 
