AI-enabled multiobjective optimization for power grid investment scaling and digital transition in uncertain scenarios
This paper proposes a comprehensive artificial intelligence–driven optimization framework for managing investment scale and enabling digital transformation of power grids under environmental uncertainty. The framework integrates hybrid learning paradigms, including probabilistic forecasting, reinforcement learning, and...