Biography:
Luis Manuel Montero obtained the Bachellor's degree in Chemical Engineering from the Universidad de Granada in 2015 and the Master's degree in Chemical Engineering from the Universidad de Salamanca in 2017. His Final Project consisted in the design of a factory to produce methanol from natural gas and the simulation of its construction and operation. Additionally, his Master Thesis Project consisted in a research about the optimization of factors involved in catalytic reactions and the design of a plant to produce high purity monoglycerides. During his time at the university, Luis Manuel worked as a teacher of university remedial classes and did an internship in a dairy company (Reny Picot). In turn, he collaborated in research with the Nanostructured Materials Research Group of the Universidad de Salamanca. After graduating, Luis Manuel has worked as a freelance Project Engineer and as an Energy Market Analyst at Enagas. Currently, he is a Research Assistant at the Energy Systems Models Area (SADSE) of the Institute for Research in Technology (IIT).
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 Market Analyst, Research Assistant.
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., 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: 6,600 Q1 (2022) - SJR: 3,726 Q1 (2022) 
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); 3,200 Q3 (2022) - SJR: 0,598 Q2 (2020); 0,632 Q1 (2022) 
