Gabriel Santos

Gabriel Santos is a Research Fellow at the Polytechnic Institute of Porto, specifically at the Higher Institute of Engineering of Porto, where he works within the Research Group in Engineering and Intelligent Computing for Innovation and Development. His academic career spans over 15 years of continuous research in energy systems, with a particular focus on electricity markets and multi-agent simulation.

His research interests center on the intersection of computer science and power engineering, with special emphasis on semantic interoperability, ontologies for energy systems, and multi-agent simulation of electricity markets. Santos has developed frameworks that enable different simulation platforms to communicate and work together, which is critical for modeling the complex interactions between power systems and electricity markets. His work has significant implications for renewable energy integration and the design of future electricity markets.

Analysis of his recent publications reveals a strong trend toward local electricity markets, energy communities, and explainable AI for energy management. His work increasingly focuses on semantic interoperability solutions that enable realistic simulation of complex energy systems with high renewable penetration. The publications demonstrate a systematic approach to solving interoperability challenges in energy systems simulation through ontological frameworks.

Santos has secured continuous funding from major research bodies including the European Commission and Portugal's Foundation for Science and Technology. His current projects include TradeRES (focusing on 100% renewable power systems) and PRECISE (cyber-physical solutions with explanatory semantic learning), indicating active research funding and relevance to current energy transition challenges.

He leads research within the Research Group in Engineering and Intelligent Computing for Innovation and Development, where his team develops simulation tools for electricity markets that incorporate power flow analysis and semantic interoperability. This work supports the development of more realistic market models that account for both economic and physical constraints of power systems.