© 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.
|Title of host publication||IEEE Power and Energy Society General Meeting 2015|
|Publication status||Published - 2015|
|Event||2015 IEEE Power and Energy Society General Meeting - Denver, United States|
Duration: 26 Jul 2015 → 30 Jul 2015
|Conference||2015 IEEE Power and Energy Society General Meeting|
|Period||26/07/15 → 30/07/15|