On the practical aspects of machine learning based active power loss forecasting in transmission networks

Franko Pandžić, Ivan Sudić, Tomislav Capuder, Ivan Pavičić

Open source

DOI: 10.1049/gtd2.13205
Published: 07
Container: IET Generation, Transmission & Distribution
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1049/gtd2.13205,
  title = {On the practical aspects of machine learning based active power loss forecasting in transmission networks},
  author = {Franko Pandžić and Ivan Sudić and Tomislav Capuder and Ivan Pavičić},
  year = {2024},
  journal = {IET Generation, Transmission \& Distribution},
  doi = {10.1049/gtd2.13205},
  url = {https://doi.org/10.1049/gtd2.13205}
}

RIS

TY  - JOUR
TI  - On the practical aspects of machine learning based active power loss forecasting in transmission networks
AU  - Franko Pandžić
AU  - Ivan Sudić
AU  - Tomislav Capuder
AU  - Ivan Pavičić
PY  - 2024
JO  - IET Generation, Transmission & Distribution
DO  - 10.1049/gtd2.13205
UR  - https://doi.org/10.1049/gtd2.13205
ER  -

APA

Pandžić, F., Sudić, I., Capuder, T., & Pavičić, I. (2024). On the practical aspects of machine learning based active power loss forecasting in transmission networks. IET Generation, Transmission & Distribution. https://doi.org/10.1049/gtd2.13205

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doaj · retrieved 2026-09-24T21:00:04.937Z