Biography:
In September 2011, he joined the Institute for Research in Technology (IIT) as an invited student in the Intelligent Systems Area (ASI). He obtained an Industrial Engineering degree (major in Electrical) in June 2013, a Master's degree in Research in Engineering Systems Modeling in June 2015, and his Ph.D. in July 2017, all of them from Universidad Pontificia Comillas. During the Ph.D. student period, he made a 3-month stay in the Smart Polygeneration Microgrid (SPM) of the University of Genoa in Savona, where he was able to test his models. He has published several works about the electrical sector in high impact factor magazines and conferences, some at system level and also some focused on the consumers and deployment of distributed energy resources. He has also participated in technical studies and in book chapters together with other IIT researchers using his model, SPLODER. He is currently working as a Researcher at the Institute for Research in Technology (IIT) where he works on projects for companies from the electricity sector (Endesa, Iberdrola, Gas Natural…). As a teacher, he has supervised more than 15 final projects of degree, master or final degree projects and given classes of digital systems at ICAI.
Areas of interest:
My research focuses on demand flexibility, energy usages, optimization models, and specifically on aggregation and microgrids issues. I am developing studies in electrical systems and the impact of different energy resources. I am also working with digital electronics systems for the control and monitoring of residential consumption.
Experience:
Transmission Expansion Planning, DERs Optimization, Energy Management Systems, Flexibility bids.
Skills:
- Languages: Spanish (native), English (C2)
- Programming Languages: Python, C, C++, SQL
- Operating Systems: Windows, macOS
- Optimization: Classical, Stochastic
- Libraries and Frameworks: pyomo, gamspy, GAMS, Gurobi with C++, pyTorch
- Software Development Tools: Github, Sourcetree, Gitlab, Workbench, DBeaver
- Software: MPLAB X, GAMS, Visual Studio Code
- Hardware: Raspberry Pi, dsPIC, PIC32, Arduino
Current research interests:
Demand Response; Demand Flexibility; Energy Transition; Microgrids; Prosumer; Energy Communities; Aggregator; Transition towards electric-powered transport
De Rosa, L., Martínez, M., Linares, J.I., Mateo, C., Gómez, T., Cossent, R., Postigo Marcos, F., Sánchez, A., Martín, F., Design and assessment of energy infrastructure in new decarbonized urban districts: a Spanish case study. Energy Reports. Vol. 11, pp. 4631 - 4641, June 2024. [Online: April 2024] 
JCR: 4,700 Q2 (2023) - SJR: 1,072 Q2 (2023)
JCR: 16,300 Q1 (2023) - SJR: 3,596 Q1 (2023) Huclin, S., Chaves, J.P., Ramos, A., Rivier, M., Freire-Barceló, T., Martín, F., Gómez, T., Sánchez, A., Exploring the roles of storage technologies in the Spanish electricity system with high share of renewable energy. Energy Reports. Vol. 8, pp. 4041 - 4057, November 2022. [Online: March 2022]
JCR: 5,200 Q2 (2022); 4,700 Q2 (2023) - SJR: 0,973 Q2 (2022); 1,072 Q2 (2023) Freire-Barceló, T., Martín, F., Sánchez, A., Rivier, M., Gómez, T., Huclin, S., Chaves, J.P., Ramos, A., Storage and demand response contribution to firm capacity: analysis of the Spanish electricity system. Energy Reports. Vol. 8, pp. 10546 - 10560, November 2022. [Online: August 2022]
JCR: 5,200 Q2 (2022); 4,700 Q2 (2023) - SJR: 0,973 Q2 (2022); 1,072 Q2 (2023) 
Freire-Barceló, T., Martín, F., Sánchez, A., A literature review of explicit demand flexibility providing energy services. Electric Power Systems Research. Vol. 209, pp. 107953-1 - 107953-17, August 2022. [Online: April 2022]
JCR: 3,900 Q2 (2022); 3,300 Q2 (2023) - SJR: 1,099 Q1 (2022); 1,029 Q1 (2023)
JCR: 5,042 Q1 (2019); 9,300 Q1 (2023) - SJR: 2,168 Q1 (2019); 2,388 Q1 (2023)
JCR: 4,968 Q1 (2017); 9,000 Q1 (2023) - SJR: Q1 (2017); 2,110 Q1 (2023)
JCR: 4,968 Q1 (2017); 9,000 Q1 (2023) - SJR: Q1 (2017); 2,110 Q1 (2023)
JCR: 7,182 Q1 (2016); 10,100 Q1 (2023) - SJR: Q1 (2016); 2,820 Q1 (2023)
JCR: 2,688 Q2 (2016); 3,300 Q2 (2023) - SJR: Q1 (2016); 1,029 Q1 (2023)
JCR: 8,050 Q1 (2016); 16,300 Q1 (2023) - SJR: Q1 (2016); 3,596 Q1 (2023) 
