Using stabilization and parallelization, the algorithm scales well with the number of weather years. In our tests, the reference configurations consistently outperform Gurobi from 8 weather years, for some cherry-picked configurations already at 2 weather years. 9/10

First, stabilization limits the step size of the algorithm preventing oscillation. We find that the most robust and implementable approaches for this problem are linear/quadratic trust regions (ex. shown below for 3 dimensions) improving performance by a factor of 10 to 20. 6/10

🚨New publication 🚨
How to deal with high inter-annual variation of renewable feed-in in sector-coupled energy planning when including multiple years of data in large-scale models is usually intractable?

doi.org/10.1016/j.ej...
@anygoeke.bsky.social & Mario Kendziorski