An Analysis of Forecasting Technologies for Icing Events in Overhead Power Line Wires

Icing on overhead power line wires can cause significant problems for power companies, as it can lead to power outages and damage to equipment. Accurate forecasting and monitoring of icing events can help power grid companies to prepare for and mitigate the impact of these events. In recent years, advances in meteorology and remote sensing technology have made it possible to predict icing events with increasing accuracy. This report paper will explore the methods and techniques used in forecasting icing events in OHL wires, including the use of weather models, remote sensing technologies, and machine learning algorithms. The paper will also discuss the challenges and limitations of current forecasting methods and suggest possible areas for future research and development. By providing a comprehensive overview of the current state of forecasting technology for icing events in OHL wires, this report aims to contribute to the ongoing efforts to improve the reliability and safety of the power grid.