An optimal time-of-use pricing for urban gas: A study with a multi-agent evolutionary game-theoretic perspective

C. Gong, Kai Tang, K. Zhu, Atakelty Hailu

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@article{cdcbfdf8ccfe4f6f8329bf40224b0a0c,

title = "An optimal time-of-use pricing for urban gas: A study with a multi-agent evolutionary game-theoretic perspective",

author = "C. Gong and Kai Tang and K. Zhu and Atakelty Hailu",

year = "2016",

doi = "10.1016/j.apenergy.2015.10.125",

language = "English",

volume = "163",

pages = "283--294",

journal = "Applied Energy",

issn = "0306-2619",

publisher = "Elsevier",

}

TY - JOUR

T1 - An optimal time-of-use pricing for urban gas: A study with a multi-agent evolutionary game-theoretic perspective

AU - Gong, C.

AU - Tang, Kai

AU - Zhu, K.

AU - Hailu, Atakelty

PY - 2016

Y1 - 2016

U2 - 10.1016/j.apenergy.2015.10.125

DO - 10.1016/j.apenergy.2015.10.125

M3 - Article

VL - 163

SP - 283

EP - 294

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

ER -