Biography:
Luis Montero is a researcher and energy models consultant at the Institute for Research in Technology (IIT). Besides, he is a lecturer at the ICAI School of Engineering. Luis obtained a Ph.D. in Power Systems from the Comillas Pontifical University, Madrid, Spain, in 2024. Previously, he received a M.Sc. degree in Chemical Engineering from the University of Salamanca, Salamanca, Spain, in 2017 and completed a B.Sc. degree in Chemical Engineering from the University of Granada, Granada, Spain, in 2015. Luis has also worked as a freelance project engineer and energy markets analyst at Enagas. Regarding research, Luis collaborated with the Nanostructured Materials Research Group of the University of Salamanca during the 2016-2017 academic year, and he has been a member of the Energy Systems Models Area (SADSE) at the IIT since 2018.
Areas of interest:
Operation, regulation and planning of power and natural gas systems. Modeling and optimization techniques, artifical intelligence and forecasting techniques.
Experience:
Project engineer, energy markets analyst, researcher, energy models consultant.
Skills:
Optimization techniques and Data analysis. Representation and modeling of power and natural gas systems. Programming in GAMS, Matlab and VBA.
Current research interests:
Models to manage the hydrothermal generation in real-size multi-area electricity markets. Enhance the operational detail when power and natural gas systems are represented in a medium-term horizon. Application of machine learning techniques to the management of assets belonged by market players whose decisions are characterized by a competitive behavior.
Montero, L., Bello, A., Reneses, J., Analyzing the computational performance of balance constraints in the medium-term unit commitment problem: tightness, compactness, and arduousness. International Journal of Electrical Power & Energy Systems. Vol. 160, pp. 110080-1 - 110080-17, September 2024. [Online: June 2024] 
JCR: 5,000 Q1 (2023) - SJR: 1,711 Q1 (2023) 
Montero, L., Bello, A., Reneses, J., Rodríguez, M., A computationally efficient formulation to accurately represent start-up costs in the medium-term unit commitment problem. IEEE Transactions on Power Systems. Vol. 38, nº. 6, pp. 5623 - 5634, November 2023. [Online: December 2022]
JCR: 6,500 Q1 (2023); - SJR: 3,827 Q1 (2023); Montero, L., Bello, A., Reneses, J., A review on the unit commitment problem: approaches, techniques, and resolution methods. Energies. Vol. 15, nº. 4, pp. 1296-1 - 1296-40, February 2022. [Online: February 2022]
JCR: 3,200 Q3 (2022); 3,000 Q3 (2023) - SJR: 0,632 Q1 (2022); 0,651 Q1 (2023) Montero, L., Bello, A., Reneses, J., A new methodology to obtain a feasible thermal operation in power systems in a medium-term horizon. Energies. Vol. 13, nº. 12, pp. 3056-1 - 3056-17, June 2020. [Online: June 2020]
JCR: 3,004 Q3 (2020); 3,000 Q3 (2023) - SJR: 0,598 Q2 (2020); 0,651 Q1 (2023) 
