@inproceedings{61d14ea5696644b494752853f20aa69a,
title = "An agent-based simulation evaluating the impact of consumer-trader information asymmetry on electricity market participation success",
abstract = "Energy traders can help industrial consumers become active participants in electricity markets by optimising their operations based on market prices. However, operational changes can cause production losses if the energy trader does not respect the consumer{\textquoteright}s operational requirements due to lack of information on the process{\textquoteright} operational properties. This study evaluates the impact of information asymmetry between an industrial process and an energy trader by comparing savings from market bid optimisation with production losses. An agent-based model is developed to represent consumer-trader interactions and the Value of Deviated Load (VoDL) is introduced to represent load deviation costs communicated to the energy trader. The model applied to a power-to-X facility in the Danish market shows that production losses can be reduced by informing the energy trader of the process{\textquoteright} VoDL. Such information is particularly important to provide when incentives from electricity prices are low compared to the production loss value.",
keywords = "agent-based modeling, demand response, market strategy, information asymmetry, collaborative intelligence",
author = "Nicolas Fatras and Ma, {Zheng Grace} and J{\o}rgensen, {Bo N{\o}rregaard}",
year = "2023",
doi = "10.1109/EEM58374.2023.10161868",
language = "English",
series = "International Conference on the European Energy Market, Proceedings",
publisher = "IEEE",
booktitle = "2023 19th International Conference on the European Energy Market (EEM)",
address = "United States",
note = "2023 19th International Conference on the European Energy Market (EEM) ; Conference date: 06-06-2023 Through 08-06-2023",
}