Application and validation of 2D Jensen-Gaussian wake model on power generation prediction based on Kentish offshore wind farm data

X.X. Gao; D. Karamanis; Lin Lu; Hongxing Yang

Application and validation of 2D Jensen-Gaussian wake model on power generation prediction based on Kentish offshore wind farm data

X.X. Gao, D. Karamanis, Lin Lu, Hongxing Yang

The Hong Kong Polytechnic University

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

Original language	English
Publication status	Published - 2016
Event	Applied Energy Symposium and Forum - Duration: 1 Jan 2016 → …

Conference

Conference	Applied Energy Symposium and Forum
Period	1/01/16 → …

Cite this

@conference{fb8f149a75274b849ec04fa58ba7659c,

title = "Application and validation of 2D Jensen-Gaussian wake model on power generation prediction based on Kentish offshore wind farm data",

author = "X.X. Gao and D. Karamanis and Lin Lu and Hongxing Yang",

year = "2016",

language = "English",

note = "Applied Energy Symposium and Forum ; Conference date: 01-01-2016",

}

Application and validation of 2D Jensen-Gaussian wake model on power generation prediction based on Kentish offshore wind farm data. / Gao, X.X.; Karamanis, D.; Lu, Lin et al.
2016. Paper presented at Applied Energy Symposium and Forum.

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

TY - CONF

T1 - Application and validation of 2D Jensen-Gaussian wake model on power generation prediction based on Kentish offshore wind farm data

AU - Gao, X.X.

AU - Karamanis, D.

AU - Lu, Lin

AU - Yang, Hongxing

PY - 2016

Y1 - 2016

M3 - Conference presentation (not published in journal/proceeding/book)

T2 - Applied Energy Symposium and Forum

Y2 - 1 January 2016

ER -