Water Systems Control: from Ensemble Forecasts to Network Topology Optimization
April 17, 2025 | 11:45 a.m.
Conference Room Emilio Gatti
Building 20
Conference Room Emilio Gatti
Building 20
Speaker: Davide Spinelli (Politecnico di Milano)
Contacts: Prof. Simone Formentin | simone.formentin@polimi.it
Contacts: Prof. Simone Formentin | simone.formentin@polimi.it
Abstract
Climate change intensifies extreme weather events, stressing water resources and demanding optimal reservoir management for competing needs.
Exploring advanced forecast-based control strategies, Lake Como serves as a multi-objective case study.
First, this seminar details a novel algorithm using probabilistic ensemble forecasts to improve decision-making, validated by blocked k-fold cross-validation.
Second, it couples neuro-evolution deep reinforcement learning with time-varying sensitivity analysis to optimize network topologies and evaluate the importance of each forecast across the year and across different compromise solutions.
Exploring advanced forecast-based control strategies, Lake Como serves as a multi-objective case study.
First, this seminar details a novel algorithm using probabilistic ensemble forecasts to improve decision-making, validated by blocked k-fold cross-validation.
Second, it couples neuro-evolution deep reinforcement learning with time-varying sensitivity analysis to optimize network topologies and evaluate the importance of each forecast across the year and across different compromise solutions.
