Explainable Reinforcement Learning for Transmission-Corridor Reinforcement under Renewable Integration: An Austrian Case Study
Transmission expansion planning must balance investment cost, network loading, and renewable-energy integration under uncertain operating conditions. This study investigates whether explainable reinforcement learning can support the allocation of additional capacity to existing transmission corridors in a stylised Aust...