Multistream Graph Attention Networks for Wind Speed Forecasting

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Original language	English
Title of host publication	2021 IEEE Symposium Series on Computational Intelligence (SSCI)
Pages	1-8
Number of pages	8
Publication status	Published - 2021
Event	2021 IEEE Symposium Series on Computational Intelligence - Online, IEEE, Orlando, United States Duration: 5 Dec 2021 → 7 Dec 2021 https://attend.ieee.org/ssci-2021/

Conference	2021 IEEE Symposium Series on Computational Intelligence
Abbreviated title	IEEE SSCI 2021
Country/Territory	United States
City	Orlando
Period	5/12/21 → 7/12/21
Internet address	https://attend.ieee.org/ssci-2021/

Access to Document

@inproceedings{a8964d2b64e9489aab61c4edb2067c41,

title = "Multistream Graph Attention Networks for Wind Speed Forecasting",

author = "Dogan Aykas and Siamak Mehrkanoon",

year = "2021",

language = "English",

pages = "1--8",

booktitle = "2021 IEEE Symposium Series on Computational Intelligence (SSCI)",

note = "2021 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2021 ; Conference date: 05-12-2021 Through 07-12-2021",

url = "https://attend.ieee.org/ssci-2021/",

}

TY - GEN

T1 - Multistream Graph Attention Networks for Wind Speed Forecasting

AU - Aykas, Dogan

AU - Mehrkanoon, Siamak

PY - 2021

Y1 - 2021

M3 - Conference article in proceeding

SP - 1

EP - 8

BT - 2021 IEEE Symposium Series on Computational Intelligence (SSCI)

T2 - 2021 IEEE Symposium Series on Computational Intelligence

Y2 - 5 December 2021 through 7 December 2021

ER -