In recent years, machine learning has proven to be a powerful tool for deriving insights from
data. In this review, we describe ways in which machine learning has been leveraged to …

Filling a gap in the literature, this text introduces readers to power systems, with an
emphasis on topics in modern power transmission engineering. Drawing on the author's …

Power transmission lines are an essential component of the electricity distribution system,
responsible for transporting electricity from power plants to homes and businesses. Power …

Abstract Purpose of Review The computation methods for modeling, controlling, and
optimizing the transforming grid are evolving rapidly. We review and systemize knowledge …

Most wildfires started by electrical power are caused by the contact of trees and surface fuels
with power lines. We propose a preignition risk mitigation model to reduce the risk of crown …

Alternating current optimal power flow (AC-OPF) is a fundamental tool in electric utilities to
determine optimal operation of the various resources. Typically, the AC-OPF problem uses …

Recent development of techniques that improve the convergence properties of power flow
simulation have been demonstrated to facilitate scaling to large system sizes (80k+ buses) …

The spatiotemporal distribution of pollutants plays a significant role on their impact on
ecosystems and human health. This article presents a strategy for calculating spatiotemporal …

Alternating-Current Optimal Power Flow (AC-OPF) is framed as a NP-hard non-convex
optimization problem that solves for the most economical dispatch of grid generation given …

For reliable and secure power grid operation, AC state-estimation (ACSE) must provide
certain guarantees of convergence while being resilient against bad-data. This paper …