AI-BASED control Strategies for Water-Energy-Foods Microgrids in rural communities
Project led by Prof. Doris Sáez that aims to optimize the operation of microgrids under the context of the Water-Energy-Food NEXUS
Optimal planning of smart ports based on computational intelligence and evolving systems
The project focuses on the optimal planning of smart ports using computational intelligence and evolving systems. This line of study aims to optimize logistics and port infrastructure processes by applying advanced learning and automation algorithms.
Sea Harbour Operation with Renewable Energies (SHORE)
The SHORE project aims to reduce the carbon footprint and pollutant emissions of maritime ports and vessels in Chilean coastal areas.
The project led by Doris Sáez focused on designing advanced distributed predictive control (DMPC) for interconnected energy-water microgrids.