1. The document discusses improving hydropower reservoir operation at the Kemano system in British Columbia by using snow-related information. The system has conflicting objectives around maximizing revenue, minimizing flood impact, and supplying power to aluminum smelters.
2. Simple single-objective operating policies are not effective due to these conflicts. A multi-objective modeling approach was used to generate Pareto fronts and identify optimal reservoir trajectories.
3. Snow data on water content is important input for the model to accurately anticipate future inflows and better balance the objectives. The approach has been implemented at Rio Tinto Alcan to improve reservoir management.