Dynamic Line Rating Through Extrapolation At Nearby Spans in Comparable Environments: Predicting Wind with Machine Learning Models Trained on Local Wind Measurements Cover

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Dynamic Line Rating Through Extrapolation At Nearby Spans in Comparable Environments: Predicting Wind with Machine Learning Models Trained on Local Wind Measurements

B&H Electrical Engineering

By: Alexandre Bare

Open Access

|Jan 2026

Authors

Alexandre Bare

alexandre.bare@ampacimon.com

Ampacimon, Belgium

DOI: https://doi.org/10.2478/bhee-2026-0015 | Journal eISSN: 2566-3151 | Journal ISSN: 2566-3143

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Language: English

Submitted on: Nov 19, 2024

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Accepted on: Mar 11, 2025

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Published on: Jan 30, 2026

Published by: Bosnia and Herzegovina National Committee CIGRÉ

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

Dynamic Line Rating,

Line Rating Forecasting,

Line Rating Extrapolation,

Overhead Lines,

Machine Learning

Related subjects:

Computer sciences,

Computer sciences, other,

Electrical engineering,

Fundamentals of electrical engineering,

Mechanical engineering,

Mechatronics and automotive

© 2026 Alexandre Bare, published by Bosnia and Herzegovina National Committee CIGRÉ
This work is licensed under the Creative Commons Attribution 4.0 License.