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.
Authors
- Arne Wessel (ORCID: https://orcid.org/0000-0003-2894-8138)
- Dinah Elena Hollermann (ORCID: https://orcid.org/0000-0001-5906-1084)
- Gerrit Hein
- Thomas Kanefendt
Institutions
- Fraunhofer Institute for Energy Economics and Energy System Technology (DE)
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