Voltage stability margin prediction by ensemble based extreme learning machine

R. Zhang, Y. Xu, Z.Y. Dong, P. Zhang, Kitpo Wong

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

Original language	English
Title of host publication	2013 IEEE Power and Energy Society General Meeting (PES)
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	5pp
Volume	n/a
ISBN (Print)	9781479913039
DOIs	https://doi.org/10.1109/PESMG.2013.6672489
Publication status	Published - 2013
Event	2013 IEEE Power and Energy Society General Meeting - Vancouver, Canada Duration: 21 Jul 2013 → 25 Jul 2013

Conference	2013 IEEE Power and Energy Society General Meeting
Country/Territory	Canada
City	Vancouver
Period	21/07/13 → 25/07/13

Access to Document

@inproceedings{93e462663e604244b8b851d9ec0660db,

title = "Voltage stability margin prediction by ensemble based extreme learning machine",

author = "R. Zhang and Y. Xu and Z.Y. Dong and P. Zhang and Kitpo Wong",

year = "2013",

doi = "10.1109/PESMG.2013.6672489",

language = "English",

isbn = "9781479913039",

volume = "n/a",

pages = "5pp",

booktitle = "2013 IEEE Power and Energy Society General Meeting (PES)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2013 IEEE Power and Energy Society General Meeting ; Conference date: 21-07-2013 Through 25-07-2013",

}

Zhang, R, Xu, Y, Dong, ZY, Zhang, P & Wong, K 2013, Voltage stability margin prediction by ensemble based extreme learning machine. in 2013 IEEE Power and Energy Society General Meeting (PES). vol. n/a, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 5pp, 2013 IEEE Power and Energy Society General Meeting, Vancouver, British Columbia, Canada, 21/07/13. https://doi.org/10.1109/PESMG.2013.6672489

TY - GEN

T1 - Voltage stability margin prediction by ensemble based extreme learning machine

AU - Zhang, R.

AU - Xu, Y.

AU - Dong, Z.Y.

AU - Zhang, P.

AU - Wong, Kitpo

PY - 2013

Y1 - 2013

U2 - 10.1109/PESMG.2013.6672489

DO - 10.1109/PESMG.2013.6672489

M3 - Conference paper

SN - 9781479913039

VL - n/a

SP - 5pp

BT - 2013 IEEE Power and Energy Society General Meeting (PES)

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

T2 - 2013 IEEE Power and Energy Society General Meeting

Y2 - 21 July 2013 through 25 July 2013

ER -