Pedro Faria

Pedro Faria is a researcher at the University Institute of Lisbon, focusing on energy systems, smart grids, and artificial intelligence applications. His work spans demand response programs, predictive maintenance, and energy consumption optimization.

• Research Interests: Demand response, smart grid technologies, machine learning for energy forecasting, privacy-preserving data techniques
• Key Contributions: Developed optimization frameworks for energy communities, peer-to-peer trading systems, and cloud migration automation tools

Recent Trends: Collaborates extensively on machine learning and explainable AI applications in energy systems, with a focus on predictive maintenance and real-time forecasting. His 2025 publications highlight multi-criteria performance metrics for energy consumption analysis.

Collaborations: Frequently partners with Zita Vale, Luis Gomes, and Carlos Ramos on projects involving energy optimization, grid management, and data-driven decision systems.