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Maxon16: A Successful Power TAC Broker

  • Renewable and sustainable energy production by many small and distributed producers is revolutionizing the energy landscape as we know it. Consumers produce energy, making them to prosumers in the smart grid. The interaction between prosumers and other entities in the grid and the optimal utilization of new smart grid components (electric cars, freezers, solar panels, etc.) are crucial for the success of the smart grid. The Power Trading Agent Competition is an open simulation platform that allows researchers to conduct low risk studies in this new energy market. In this work we present Maxon16, an autonomous energy broker and champion of the 2016's Power Trading Agent Competition. We present the strategies the broker used in the final round and evaluate the effectiveness of the strategies by analyzing the tournament's results.

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Author:Tobias Urban, Wolfram Conen
Parent Title (English):Konferenz: International Workshop on Agent-Mediated Electronic Commerce and Trading Agents Design and Analysis (co located with the International Conference on Autonomous Agents and Multiagent Systems), 09.05.2017 in São Paulo
Document Type:Conference Proceeding
Date of Publication (online):2018/11/26
Date of first Publication:2017/05/09
Publishing Institution:Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen
Release Date:2019/01/02
Tag:Artificial Intelligence; Autonomous Agents; Machine Learning; Multi-Agent System; Smart Grid
Departments / faculties:Fachbereiche / Informatik und Kommunikation
Licence (German):License LogoEs gilt das Urheberrechtsgesetz

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