Pablo Diaz Cachinero

Pablo Diaz Cachinero is a Visiting Professor at Carlos III University of Madrid, affiliated with the Department of Statistics and the Energy Analytics research group. His work bridges Industrial Engineering and Renewable Energy domains.

Research Interests: His research focuses on integrating Electric Vehicles (EVs) into energy systems, optimizing microgrid operations with renewable resources, and analyzing transitional energy technologies. He applies advanced statistical and optimization methods to address demand uncertainty and improve grid efficiency.

Publications Trends: Recent work emphasizes Virtual Power Plants (VPPs), EV operational planning, and battery degradation cost modeling. These studies appear in journals like IEEE Access, Applied Energy, and Renewable Energy.

Projects: Currently leading

• SOLAROPIA-CM-UC3M (2024-2026): AI for solar plant integration in Spain
• UNIVERSIDAD CARLOS III DE MADRID (2024-2025): Uncertainty-based EV optimization

Academic Mobility: Completed a predoctoral stay at Aalto University (2021) under Professor Matti Lehtonen. Maintains active co-authorship networks and is visible on platforms like Google Scholar.