Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55519
Title: A hybrid interactive simulation method for studying emission trading behaviors
Authors: Xue, Y
Jiang, C
Huang, J
Wen, F
Ding, Y
Xu, Z 
Wong, KP
Keywords: Emission trading
Experimental economics
Hybrid interactive simulation
Multi-agent simulation
Issue Date: 2015
Publisher: IEEE Computer Society
Source: IEEE Power and Energy Society General Meeting, PESGM 2015, 26-30 July 2015, 7285761 How to cite?
Abstract: 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.
URI: http://hdl.handle.net/10397/55519
ISBN: 9781467380409
ISSN: 1944-9925
DOI: 10.1109/PESGM.2015.7285761
Appears in Collections:Conference Paper

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