A Small Model of Market Behavior
Automation and Remote Control
A Priority-Based Transmission Protocol for Congested Networks Supporting Incremental Computations
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
A New Agent-based Framework for the Simulation of Electricity Markets
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Web Farming and Data Warehousing for Energy Tradefloors
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
PowerMatcher: multiagent control in the electricity infrastructure
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Evolving cooperative behavior in a power market
Proceedings of the 8th annual conference on Genetic and evolutionary computation
A deployed multi-agent framework for distributed energy applications
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Efficiency evaluation of open source ETL tools
Proceedings of the 2011 ACM Symposium on Applied Computing
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Today, there is the need for establishing a strong relationship between Business Intelligence (BI) and Energy Markets (EM). This is crucial because of enormous and increasing data volumes generated and stored day by day in the EM. The data volume turns impossible to obtain clear data understanding through human analysis or with traditional tools. BI can be the solution. In this sense, we present a comprehensive survey related with the BI applications for the EM, in order to show trends and useful methods for tackling down every day EM challenges. We outline how BI approach can effectively support a variety of difficult and challenging EM issues like prediction, pattern recognition, modeling and others. We can observe that hybrid artificial intelligence systems are common in EM. An extensive bibliography is also included.