most citedLearning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

math.NA2025

Preconditioning via Randomized Range Deflation (RandRAND)

Oleg Balabanov, Caleb Ju, Kaiwen He +2

We introduce RandRAND, a new class of randomized preconditioning methods for large-scale linear systems. RandRAND deflates the spectrum via efficient orthogonal projections onto ra…

cs.LG2024★ 1 cited

Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration

Caleb Ju, Constance Crozier

Variable renewable generation increases the challenge of balancing power supply and demand. Grid-scale batteries co-located with generation can help mitigate this misalignment. Thi…