Machine Learning Based Temperature Forecast for Offshore Windfarm Export Cables

Syed Hamza Hasan Kazmi, B. Cordes, Joachim Holbøll, T. H. Olesen, T. S. Sørensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Original language	English
Title of host publication	Cigre 2020 e-session
Number of pages	14
Publisher	CIGRE (International Council on Large Electric Systems)
Publication date	2020
Publication status	Published - 2020
Event	CIGRE Session 2020 - Virtual event, Paris, France Duration: 24 Aug 2020 → 3 Sept 2020

OpenUrl availability

@inproceedings{641f68fd49d146328b08b8911c3a1a4c,

title = "Machine Learning Based Temperature Forecast for Offshore Windfarm Export Cables",

author = "Kazmi, {Syed Hamza Hasan} and B. Cordes and Joachim Holb{\o}ll and Olesen, {T. H.} and S{\o}rensen, {T. S.}",

year = "2020",

language = "English",

booktitle = "Cigre 2020 e-session",

publisher = "CIGRE (International Council on Large Electric Systems)",

note = "CIGRE Session 2020 ; Conference date: 24-08-2020 Through 03-09-2020",

}

TY - GEN

T1 - Machine Learning Based Temperature Forecast for Offshore Windfarm Export Cables

AU - Kazmi, Syed Hamza Hasan

AU - Cordes, B.

AU - Holbøll, Joachim

AU - Olesen, T. H.

AU - Sørensen, T. S.

PY - 2020

Y1 - 2020

M3 - Article in proceedings

BT - Cigre 2020 e-session

PB - CIGRE (International Council on Large Electric Systems)

T2 - CIGRE Session 2020

Y2 - 24 August 2020 through 3 September 2020

ER -