Smart grids and simulation platforms Active
Prof. Sousso Kelouwani et Prof. Kodjo Agbossou · Farshad Etedadi (stage postdoctoral) · Kossi Landry Adjanohun, Zahra Farahzadi
Quebec's food security increasingly relies on controlled-environment agriculture: greenhouses enable year-round production despite intense cold and long winters. Their operation is however energy-intensive — heating, ventilation, dehumidification and lighting — and rigid management strategies adapt poorly to weather uncertainty and equipment anomalies.
This LIREI program develops optimal energy management and climate control strategies for greenhouses: predictive control robust to uncertainty and respectful of the crops' physiological optimum under contractual constraints, and probabilistic anomaly detection and diagnosis frameworks combining physics-informed modeling, uncertainty quantification and causal reasoning. The goal: reducing energy consumption while guaranteeing the yield and quality of Quebec's greenhouse production.
Machine learning and consumption monitoring Active
Uncertainty-aware probabilistic AI framework for detecting and diagnosing anomalies in smart greenhouse energy systems.
Zahra Farahzadi — dir. Prof. Kodjo Agbossou
Smart grids and simulation platforms Active
Predictive energy management and climate control strategy for greenhouses, robust to weather uncertainty and resilient to anomalies.
Kossi Landry Adjanohun — dir. Prof. Sousso Kelouwani
