Peak-power-demand limitation through independent consumer coordination
IEEE Transactions on Systems, Man and Cybernetics
A Simulator for Self-Adaptive Energy Demand Management
SASO '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems
Agent-based micro-storage management 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)
Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence
Communications of the ACM
Theoretical and practical foundations of large-scale agent-based micro-storage in the smart grid
Journal of Artificial Intelligence Research
SAVES: a sustainable multiagent application to conserve building energy considering occupants
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Improving building energy efficiency with a network of sensing, learning and prediction agents
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Decentralised stable coalition formation among energy consumers in the smart grid (demonstration)
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
An intelligent agent for home heating management (demonstration)
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
PRIMA'11 Proceedings of the 14th international conference on Agent Based Simulation for a Sustainable Society and Multi-agent Smart Computing
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Self-Organizing Agents for Efficient Sustainable Resource Utilization
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Using mobile agents and overlay networks to secure electrical networks
Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Simulating household activities to lower consumption peaks: demonstration
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Proceedings of the fourth international conference on Future energy systems
Towards appliance usage prediction for home energy management
Proceedings of the fourth international conference on Future energy systems
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
Forecasting multi-appliance usage for smart home energy management
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Randomized load control: a simple distributed approach for scheduling smart appliances
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Asymmetric distributed constraint optimization problems
Journal of Artificial Intelligence Research
TESLA: an extended study of an energy-saving agent that leverages schedule flexibility
Autonomous Agents and Multi-Agent Systems
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Central to the vision of the smart grid is the deployment of smart meters that will allow autonomous software agents, representing the consumers, to optimise their use of devices and heating in the smart home while interacting with the grid. However, without some form of coordination, the population of agents may end up with overly-homogeneous optimised consumption patterns that may generate significant peaks in demand in the grid. These peaks, in turn, reduce the efficiency of the overall system, increase carbon emissions, and may even, in the worst case, cause blackouts. Hence, in this paper, we introduce a novel model of a Decentralised Demand Side Management (DDSM) mechanism that allows agents, by adapting the deferment of their loads based on grid prices, to coordinate in a decentralised manner. Specifically, using average UK consumption profiles for 26M homes, we demonstrate that, through an emergent coordination of the agents, the peak demand of domestic consumers in the grid can be reduced by up to 17% and carbon emissions by up to 6%. We also show that our DDSM mechanism is robust to the increasing electrification of heating in UK homes (i.e., it exhibits a similar efficiency).