Sergio Potenciano Menci is a PhD researcher specializing in electricity (power systems). He is originally from Spain, where he got his bachelor’s degree in Energy Engineering from the Mining and Energy Engineering School in Madrid (UPM). He specialized during his bachelor’s in energy use and management, complemented by a 1-year Erasmus in Austria at the Montan University of Leoben. He attended courses ranging from oil and gas to power systems and electrical engineering. After his bachelor’s, he continued his studies in energy systems at the Applied University of Upper Austria by attending the master’s program in Energy Informatics. This program intersects computing science, communication and information technologies (ICT), and electricity systems.
After his studies and internships, Sergio joined the Electrical Energy System group (center of Energy) at the Austrian Institute of Technology (AIT). He joined as a junior researcher working on several smart grid European projects (i.e., InterFlex and InteGrid). His research focused on the system architecture of Smart Grids and their modeling, operation, and communication levels. Moreover, this focus was on the scalability and replicability of Smart Grids solutions. It involved developing methods for implementing for the different smart grid functions (operation) and how these communicate (ICT). He used his experience and results to publish in conferences and peer-reviewed journals. After achieving the position of researcher and project manager at the AIT, he pushed for his doctoral studies at the University in Luxembourg. He aims to increase his holistic view of the energy system across Europe. Sergio joined the Digital Financial Services and Cross-Organizational Digital Transformations Research Group, FINATRAX, headed by Prof. Gilbert Fridgen, and Prof. Gilbert Fridgen will advise him. scalability and replicability analysis (SRA)
His research during his doctoral studies capitalizes on his previous experience and knowledge from several on the distribution power system. He focuses on replicating several solutions and studies for on distribution networks (medium and low voltage). Additionally, his line of research also includes (1) the study of market-based approaches for flexibility procurement with a special dedication to, covering topics such as design, impact, and implementation; (2) investigating distributed computation for advanced forecasting using techniques such as with Neural Networks (LSTM), complemented with privacy-techniques and (3) the following market-based approaches. smart grid projects flexibility impact assessment (SRA) local flexibility markets Federated Learning integration and leverage of electric vehicles/industry as flexibility sources
