Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study

Jose L. Aznarte, Nils Siebert

Open source

DOI: 10.1109/tpwrd.2016.2543818
Published: 2017-02
Container: IEEE Transactions on Power Delivery
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tpwrd.2016.2543818,
  title = {Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study},
  author = {Jose L. Aznarte and Nils Siebert},
  year = {2017},
  journal = {IEEE Transactions on Power Delivery},
  doi = {10.1109/tpwrd.2016.2543818},
  url = {https://doi.org/10.1109/tpwrd.2016.2543818}
}

RIS

TY  - JOUR
TI  - Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study
AU  - Jose L. Aznarte
AU  - Nils Siebert
PY  - 2017
JO  - IEEE Transactions on Power Delivery
DO  - 10.1109/tpwrd.2016.2543818
UR  - https://doi.org/10.1109/tpwrd.2016.2543818
ER  -

APA

Aznarte, J. L., & Siebert, N. (2017). Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study. IEEE Transactions on Power Delivery. https://doi.org/10.1109/tpwrd.2016.2543818

Source records

crossref · retrieved 2026-09-25T00:59:04.691Z