Marco Pritoni is a Research Scientist at Lawrence Berkeley National Laboratory where he conducts research in the area of advanced controls, data-driven modeling and data analytics applied to buildings. He leads a team of researchers working on optimization of building operation and building-to-grid interaction. Marco has a multidisciplinary background spanning mechanical engineering, building science, data science and human behavior. He holds a PhD and MS in Mechanical and Aeronautical Engineering from UC Davis and MS in Industrial Engineering from the University of Bologna, Italy.
Mechanical Research Scientist/Engineer
Can We Fix It Automatically? Development of Fault Auto-Correction Algorithms for HVAC and Lighting Systems
Developing and Evaluating Metrics for Demand Flexibility in Buildings: Comparing Simulations and Field Data
Development and Implementation of Fault-Correction Algorithms in Fault Detection and Diagnostics Tools