Artificial intelligence forecasting for transmission line ampacity

Y Hamed, MS Abd Rahman, MZA Ab Kadir… - … Systems Modeling and …, 2022 - Springer
Overhead transmission lines are used to transmit electrical energy at a high voltage over
long distances. The capacity of the transmission system is usually capped at a certain level …

Improvement of Transmission Line Ampacity Utilization Via Machine Learning-Based Dynamic Line Rating Prediction

R Fernandez Martinez, R Alberdi, E Fernandez… - Available at SSRN … - papers.ssrn.com
Distribution and transport system operators plan and operate overhead lines in power
transmission networks by using thermal ratings calculated under static conditions. These …

Dynamic line rating forecasting algorithm for a secure power system network

OA Lawal, J Teh - Expert Systems with Applications, 2023 - Elsevier
This research aimed to enhance the capacity of transmission lines by developing an
algorithm to predict Dynamic Line Rating (DLR) to avert the curtailment of renewable energy …

Forecasting for dynamic line rating

A Michiorri, HM Nguyen, S Alessandrini… - … and sustainable energy …, 2015 - Elsevier
This paper presents an overview of the state of the art on the research on Dynamic Line
Rating forecasting. It is directed at researchers and decision-makers in the renewable …

Probabilistic forecasting of dynamic line rating for over-head transmission lines

X Sun, PB Luh, KW Cheung… - 2015 IEEE Power & …, 2015 - ieeexplore.ieee.org
Rating of an overhead transmission line is defined as the maximum current that the line can
safely carry without damaging the conductor. This current limit has been treated …

Overhead lines dynamic line rating based on probabilistic day-ahead forecasting and risk assessment

R Dupin, G Kariniotakis, A Michiorri - … Journal of Electrical Power & Energy …, 2019 - Elsevier
Abstract Dynamic Line Rating is a technology devised to modify an overhead line's current-
carrying capacity based on weather observation. The benefits of this modification may …

[HTML][HTML] Overhead transmission lines dynamic rating estimation for renewable energy integration using machine learning

A Sobhy, TF Megahed, M Abo-Zahhad - Energy Reports, 2021 - Elsevier
The increasing electrical power generation from renewable energy resources poses new
challenges to the electrical grid. These challenges are mainly related to the inconsistent …

Dynamic line rating using numerical weather predictions and machine learning: A case study

JL Aznarte, N Siebert - IEEE Transactions on Power Delivery, 2016 - ieeexplore.ieee.org
In this paper, a dynamic line-rating experiment is presented in which four machine-learning
algorithms (generalized linear models, multivariate adaptive regression splines, random …

Predictive line rating in underground transmission lines going beyond dynamic line rating

S Negari, K Raahemifar, D Xu - 2016 IEEE Canadian …, 2016 - ieeexplore.ieee.org
This paper investigates feasibility of developing a predictive rating method to optimize line
rating of underground transmission lines based on weather forecast information …

Implementation of Machine Learning Models for Transmission Grid Monitoring and Blackout Prevention

DB Gemeda - 2024 - publikationen.bibliothek.kit.edu
Sustainable energy is one of the most important systems in modern society. To achieve the
sustainable energy provision goal, Ethiopia has made significant investments in renewable …