A hybrid interactive simulation method for studying emission trading behaviors

Y. Xue; C. Jiang; Jie Huang; F. Wen; Y. Ding; Z. Xu; Kitpo Wong

doi:10.1109/PESGM.2015.7285761

A hybrid interactive simulation method for studying emission trading behaviors

Y. Xue, C. Jiang, Jie Huang, F. Wen, Y. Ding, Z. Xu, Kitpo Wong

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

4 Citations (Scopus)

Abstract

© 2015 IEEE. Understanding human participants' trading behaviors is important for market designers. When analyzing the sensitivity of a control variable, it is of crucial importance to keep all other variables fixed, as well as human behaviors. In this paper, a hybrid interactive simulation methodology is introduced and utilized to model emission trading behaviors of generation companies. By extracting information from human-subjected experiments under several scenarios, a stochastic model for multi-agent is constructed and verified. Furthermore, influences of different emission reduction level on emission prices are studied based on multi-agent simulation. Combining the complementary features between experimental and agent-based computational methods, the hybrid interactive simulation can help studying human behaviors involved research problems.

Original language	English
Title of host publication	IEEE Power and Energy Society General Meeting 2015
Publisher	Wiley-IEEE Press
Pages	1-5
Volume	2015-September
ISBN (Print)	9781467380409
DOIs	https://doi.org/10.1109/PESGM.2015.7285761
Publication status	Published - 2015
Event	2015 IEEE Power and Energy Society General Meeting - Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015

Conference

Conference	2015 IEEE Power and Energy Society General Meeting
Country/Territory	United States
City	Denver
Period	26/07/15 → 30/07/15

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10.1109/PESGM.2015.7285761

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@inproceedings{4da055d8e97d4503813b7ed0c566f49d,

title = "A hybrid interactive simulation method for studying emission trading behaviors",

abstract = "{\textcopyright} 2015 IEEE. Understanding human participants' trading behaviors is important for market designers. When analyzing the sensitivity of a control variable, it is of crucial importance to keep all other variables fixed, as well as human behaviors. In this paper, a hybrid interactive simulation methodology is introduced and utilized to model emission trading behaviors of generation companies. By extracting information from human-subjected experiments under several scenarios, a stochastic model for multi-agent is constructed and verified. Furthermore, influences of different emission reduction level on emission prices are studied based on multi-agent simulation. Combining the complementary features between experimental and agent-based computational methods, the hybrid interactive simulation can help studying human behaviors involved research problems.",

author = "Y. Xue and C. Jiang and Jie Huang and F. Wen and Y. Ding and Z. Xu and Kitpo Wong",

year = "2015",

doi = "10.1109/PESGM.2015.7285761",

language = "English",

isbn = "9781467380409",

volume = "2015-September",

pages = "1--5",

booktitle = "IEEE Power and Energy Society General Meeting 2015",

publisher = "Wiley-IEEE Press",

note = "2015 IEEE Power and Energy Society General Meeting ; Conference date: 26-07-2015 Through 30-07-2015",

}

Xue, Y, Jiang, C, Huang, J, Wen, F, Ding, Y, Xu, Z & Wong, K 2015, A hybrid interactive simulation method for studying emission trading behaviors. in IEEE Power and Energy Society General Meeting 2015. vol. 2015-September, Wiley-IEEE Press, pp. 1-5, 2015 IEEE Power and Energy Society General Meeting, Denver, Colorado, United States, 26/07/15. https://doi.org/10.1109/PESGM.2015.7285761

TY - GEN

T1 - A hybrid interactive simulation method for studying emission trading behaviors

AU - Xue, Y.

AU - Jiang, C.

AU - Huang, Jie

AU - Wen, F.

AU - Ding, Y.

AU - Xu, Z.

AU - Wong, Kitpo

PY - 2015

Y1 - 2015

N2 - © 2015 IEEE. Understanding human participants' trading behaviors is important for market designers. When analyzing the sensitivity of a control variable, it is of crucial importance to keep all other variables fixed, as well as human behaviors. In this paper, a hybrid interactive simulation methodology is introduced and utilized to model emission trading behaviors of generation companies. By extracting information from human-subjected experiments under several scenarios, a stochastic model for multi-agent is constructed and verified. Furthermore, influences of different emission reduction level on emission prices are studied based on multi-agent simulation. Combining the complementary features between experimental and agent-based computational methods, the hybrid interactive simulation can help studying human behaviors involved research problems.

AB - © 2015 IEEE. Understanding human participants' trading behaviors is important for market designers. When analyzing the sensitivity of a control variable, it is of crucial importance to keep all other variables fixed, as well as human behaviors. In this paper, a hybrid interactive simulation methodology is introduced and utilized to model emission trading behaviors of generation companies. By extracting information from human-subjected experiments under several scenarios, a stochastic model for multi-agent is constructed and verified. Furthermore, influences of different emission reduction level on emission prices are studied based on multi-agent simulation. Combining the complementary features between experimental and agent-based computational methods, the hybrid interactive simulation can help studying human behaviors involved research problems.

U2 - 10.1109/PESGM.2015.7285761

DO - 10.1109/PESGM.2015.7285761

M3 - Conference paper

SN - 9781467380409

VL - 2015-September

SP - 1

EP - 5

BT - IEEE Power and Energy Society General Meeting 2015

PB - Wiley-IEEE Press

T2 - 2015 IEEE Power and Energy Society General Meeting

Y2 - 26 July 2015 through 30 July 2015

ER -

A hybrid interactive simulation method for studying emission trading behaviors

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