Abstract: This paper presents a novel method for power system reliability studies that combines graph neural networks with reinforcement learning. Monte Carlo methods are the backbone of probabilistic ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...

Abstract: Unit commitment (UC) problems are typically formulated as mixed-integer programs (MIP) and solved by the branch-and-bound (B&B) scheme. The recent advances in graph neural networks (GNN) ...

Revise the most important concepts, formulas, and numericals from the Electricity chapter with topic-wise notes and expert ...