With the increasing penetration of renewable energy sources (RES) in conventional power
systems, it has become very difficult to maintain balance between supply and demand due …

The dynamic thermal rating (DTR) system can safely determine the thermal limits of power
components on the basis of environmental conditions. Studies have shown that the DTR …

As a direct consequence of power systems restructuring on one hand and unprecedented
renewable energy utilization on the other, the uncertainties of power systems are getting …

The cyber–physical infrastructure of a smart grid requires data-dependent artificial
intelligence (AI)-based forecasting schemes for predicting different aspects for the short-to …

Traditional transmission line ratings are limited by a set of fixed conservative weather
assumptions that are also known as static thermal rating (STR). Owing to STR, new line …

Most of the existing overhead transmission lines (TLs) are assigned a static rating by
considering the conservative environmental conditions (eg, high ambient temperature and …

This paper presents a transmission line failure model that is enhanced with the dynamic
thermal rating (DTR) system. The failure model consists of two parts. The first part is the …

Currently, uncertainty in energy systems is an ongoing issue, particularly in modern
renewable energy systems, where it is difficult to accurately describe current or future states …

This paper proposes a joint methodology for quantifying both the aleatory and epistemic
uncertainties of the transmission line end-of-life failure model. Aleatory uncertainty accounts …

Wind energy, as a clean energy source, is rapidly expanding worldwide. The correlation
between the expansion of wind power generation and anticipated future demand has the …