Understanding which hydrological operational constraints generate the highest system costs is essential for more efficient planning. A methodology developed in partnership with ONS (National Electric System Operator) quantifies their economic impact, supporting the objective prioritization of flexibility measures and guiding more efficient investment decisions.

The SINAIS framework, developed in partnership with ONS (National Electric System Operator), introduces a multidimensional approach to assessing grid health. Using a set of five models, it quantifies energy reliability, ramping flexibility, and resilience during peak demand periods. By capturing tail risks through Conditional Value at Risk (CVaR) and simulating real-time reserve adjustments, SINAIS provides a data-driven roadmap for the energy transition.