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Decentralised coordination of low-power embedded devices using the max-sum algorithm
A novel representation of the generic problem of maximising social welfare within a group of interacting agents is proposed, as a cyclic bipartite factor graph, composed of variable and function nodes (representing the agents' states and utilities respectively).
NILMTK: an open source toolkit for non-intrusive load monitoring
This work is the first research to compare multiple disaggregation approaches across multiple publicly available data sets, and demonstrates the range of reproducible analyses made possible by the toolkit.
Non-Intrusive Load Monitoring Using Prior Models of General Appliance Types
This paper proposes an approach by which individual appliances can be iteratively separated from an aggregate load, and evaluates the accuracy of the approach using the REDD data set, and shows the disaggregation performance when using the training approach is comparable to when sub-metered training data is used.
Putting the 'smarts' into the smart grid
A research agenda for making the smart grid a reality is presented, with a focus on energy efficiency, smart grids and smart cities.
Agent-based control for decentralised demand side management in the smart grid
This paper introduces a novel model of a Decentralised Demand Side Management mechanism that allows agents, by adapting the deferment of their loads based on grid prices, to coordinate in a decentralised manner and demonstrates that, through an emergent coordination of the agents, the peak demand of domestic consumers in the grid can be reduced.
Agent-based micro-storage management for the Smart Grid
This paper provides 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 and shows that 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.
Trading agents for the smart electricity grid
A novel market-based mechanism based on the Continuous Double Auction and automatically manages the congestion within the system by pricing the flow of electricity and introduces mechanisms to ensure the system can cope with unforseen demand or increased supply capacity in real time.