Welfare losses in commodity storage games
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Intelligent agents for the smart grid
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Agent-based homeostatic control for green energy in the smart grid
ACM Transactions on Intelligent Systems and Technology (TIST)
Agent-based control for decentralised demand side management in the smart grid
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Cooperatives of distributed energy resources for efficient virtual power plants
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Decentralized coordination of plug-in hybrid vehicles for imbalance reduction in a smart grid
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
A survey of communication/networking in Smart Grids
Future Generation Computer Systems
Hierarchically structured energy markets as novel smart grid control approach
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence
Communications of the ACM
PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
Theoretical and practical foundations of large-scale agent-based micro-storage in the smart grid
Journal of Artificial Intelligence Research
The impact of electricity pricing schemes on storage adoption in Ontario
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
SmartCharge: cutting the electricity bill in smart homes with energy storage
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Distributed storage management using dynamic pricing in a self-organized energy community
IWSOS'12 Proceedings of the 6th IFIP TC 6 international conference on Self-Organizing Systems
A storage pricing mechanism for learning agents in Masdar City smart grid
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Engineering societal information systems by agent-oriented modeling
Journal of Ambient Intelligence and Smart Environments - A software engineering perspective on smart applications for AmI
Artificial Intelligence Review
Privacy-preserving smart metering with regional statistics and personal enquiry services
Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security
Scaling distributed energy storage for grid peak reduction
Proceedings of the fourth international conference on Future energy systems
Proceedings of the fourth international conference on Future energy systems
Constrained flow control in storage networks: Capacity maximization and balancing
Automatica (Journal of IFAC)
e COOP: privacy-preserving dynamic coalition formation for power regulation in the smart grid
AT'13 Proceedings of the Second international conference on Agreement Technologies
Incentivizing Advanced Load Scheduling in Smart Homes
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
An active learning approach to home heating in the smart grid
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Sharing rewards in cooperative connectivity games
Journal of Artificial Intelligence Research
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The use of energy storage devices in homes has been advocated as one of the main ways of saving energy and reducing the reliance on fossil fuels in the future Smart Grid. However, if micro-storage devices are all charged at the same time using power from the electricity grid, it means a higher demand and, hence, requires more generation capacity, results in more carbon emissions, and, in the worst case, breaks down the system due to over-demand. To alleviate such issues, in this paper, we present a novel agent-based micro-storage management technique that allows all (individually-owned) storage devices in the system to converge to profitable, efficient behaviour. Specifically, we provide a general framework within which to analyse the Nash equilibrium of an electricity grid and devise new agent-based storage learning strategies that adapt to market conditions. Taken altogether, our solution shows that, specifically, in the UK electricity market, it is possible to achieve savings of up to 13% on average for a consumer on his electricity bill with a storage device of 4 kWh. Moreover, we show that there exists an equilibrium where only 38% of UK households would own storage devices and where social welfare would be also maximised (with an overall annual savings of nearly GBP 1.5B at that equilibrium).