Resilient energy networks
Risk-informed planning for outages, renewable integration and power-system operation.
Research associate · Lecturer · SUPSI ISAAC
Making complex systems reliable under uncertainty.
I am Dr Roberto Rocchetta. My research combines reliability engineering, statistical learning and energy-system modelling to support decisions for resilient infrastructure.
Roberto RocchettaResearch Associate & Lecturer
Research focus
From uncertain data to defensible decisions.
I develop methods for risk assessment, uncertainty quantification, stochastic and robust optimisation, and reinforcement learning. Applications span power grids, renewable energy, electric mobility, prognostics and infrastructure maintenance.
Selected directions
Research in practice
Reliability & prognostics
Statistical and learning-based methods for lifetime prediction, maintenance and RAMS.
Learning for decisions
Reinforcement learning and scenario optimisation for mobility and critical infrastructure.
Connect
Let’s discuss research and collaboration.
Energy systems · Infrastructure resilience · Decision making under uncertainty