Dynamic line rating in Germany: integrating machine learning and terrain data for improved forecasts

In Germany, wind energy is reshaping the electricity landscape, notably by increasing energy input in the northern regions. This renewable energy must traverse the occasionally saturated electrical grid to the south, testing the system’s capacity limits. An effective solution to this problem of lacking ampacity is Dynamic Line Rating (DLR), which makes it possible to increase the load on the power lines under certain weather conditions.

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Publication Details

Journal
IET conference proceedings.
Published
2025-02-01
DOI
https://doi.org/10.1049/icp.2024.3919
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamic line rating in Germany: integrating machine learning and terrain data for improved forecasts

Arne Wessel, Dinah Elena Hollermann, Gerrit Hein, Thomas Kanefendt
IET conference proceedings.
Efficiency Analysis Using DEA
article

Dynamic line rating in Germany: integrating machine learning and terrain data for improved forecasts

Arne Wessel, Dinah Elena Hollermann, Gerrit Hein, Thomas Kanefendt
article en

Abstract

In Germany, wind energy is reshaping the electricity landscape, notably by increasing energy input in the northern regions. This renewable energy must traverse the occasionally saturated electrical grid to the south, testing the system’s capacity limits. An effective solution to this problem of lacking ampacity is Dynamic Line Rating (DLR), which makes it possible to increase the load on the power lines under certain weather conditions.

IET conference proceedings.Vol. 2024(16)
Fraunhofer Institute for Energy Economics and Energy System Technology (DE)
Climate action
Openalex Percentile: Top 96%
Efficiency Analysis Using DEA
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