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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 Cover

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
Volume 20 (2026): Issue 1 (July 2026)
By:   
Open Access
|Jan 2026
Authors

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
Page range: 125 - 134
Submitted on: Apr 18, 2025
Accepted on: Oct 21, 2025
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,
Engineering,
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.

Volume 20 (2026): Issue 1 (July 2026)
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