A Neural Network Based Electrical Loss Prediction of Bare Overhead ACSR Conductors

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First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)

Beijing, China

August 30-September 01

ISBN: 0-7695-2616-0

	ASCII Text	x
	Fang Liu, Raymond D. Findlay, Qiang Song, "A Neural Network Based Electrical Loss Prediction of Bare Overhead ACSR Conductors," Innovative Computing ,Information and Control, International Conference on, vol. 2, pp. 392-395, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006.

	BibTex	x
	@article{ 10.1109/ICICIC.2006.205, author = {Fang Liu and Raymond D. Findlay and Qiang Song}, title = {A Neural Network Based Electrical Loss Prediction of Bare Overhead ACSR Conductors}, journal ={Innovative Computing ,Information and Control, International Conference on}, volume = {2}, year = {2006}, isbn = {0-7695-2616-0}, pages = {392-395}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.205}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Innovative Computing ,Information and Control, International Conference on TI - A Neural Network Based Electrical Loss Prediction of Bare Overhead ACSR Conductors SN - 0-7695-2616-0 SP392 EP395 A1 - Fang Liu, A1 - Raymond D. Findlay, A1 - Qiang Song, PY - 2006 KW - null VL - 2 JA - Innovative Computing ,Information and Control, International Conference on ER -

Fang Liu, McMaster University, Canada

Raymond D. Findlay, McMaster University, Canada

Qiang Song, Hangzhou Dianzi University, China

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.205

Due to the current resource crisis, reliable electrical loss analysis and prediction attract more attention than ever for efficient power system management. This paper successfully predicts the electrical loss of ACSR with actual daily load variations using an accurate and effective neural network model, which is validated by visual comparison and strict statistical criterion. Since electrical loss for ACSR is closely related with ac resistance, case study is performed on a typical ACSR to investigate and simulate its ac resistance properties.

Citation:

Fang Liu, Raymond D. Findlay, Qiang Song, "A Neural Network Based Electrical Loss Prediction of Bare Overhead ACSR Conductors," icicic, vol. 2, pp.392-395, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006

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