Quantum-inspired particle swarm optimization for power system operations considering wind power uncertainty and carbon tax in Australia

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	880-888
Journal	IEEE Transactions on Industrial Informatics
Volume	8
Issue number	4
DOIs	https://doi.org/10.1109/TII.2012.2210431
Publication status	Published - 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{4d072a0f4f0641fa92e0a72c002e8cec,

title = "Quantum-inspired particle swarm optimization for power system operations considering wind power uncertainty and carbon tax in Australia",

author = "F. Yao and Z.Y. Dong and K. Meng and Z. Xu and Herbert Iu and Kitpo Wong",

year = "2012",

doi = "10.1109/TII.2012.2210431",

language = "English",

volume = "8",

pages = "880--888",

journal = "IEEE Transactions on Industrial Informatics",

issn = "1551-3203",

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

number = "4",

}

TY - JOUR

T1 - Quantum-inspired particle swarm optimization for power system operations considering wind power uncertainty and carbon tax in Australia

AU - Yao, F.

AU - Dong, Z.Y.

AU - Meng, K.

AU - Xu, Z.

AU - Iu, Herbert

AU - Wong, Kitpo

PY - 2012

Y1 - 2012

U2 - 10.1109/TII.2012.2210431

DO - 10.1109/TII.2012.2210431

M3 - Article

SN - 1551-3203

VL - 8

SP - 880

EP - 888

JO - IEEE Transactions on Industrial Informatics

JF - IEEE Transactions on Industrial Informatics

IS - 4

ER -