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Decentralised coordination of low-power embedded devices using the max-sum algorithm
TLDR
We propose a novel representation of the problem, as a cyclic bipartite factor graph, composed of variable and function nodes (representing the agents' states and utilities respectively). We show that such representation allows us to use an extension of the max-sum algorithm to generate approximate solutions to this global optimisation problem through decentralised message passing. Expand
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NILMTK: an open source toolkit for non-intrusive load monitoring
TLDR
We present the Non-intrusive Load Monitoring Toolkit (NILMTK); an open source toolkit designed specifically to enable the comparison of energy disaggregation algorithms in a reproducible manner. Expand
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Bounded approximate decentralised coordination via the max-sum algorithm
TLDR
In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Expand
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Non-Intrusive Load Monitoring Using Prior Models of General Appliance Types
TLDR
Non-intrusive appliance load monitoring (NIALM), or energy disaggregation, aims to break down a household’s aggregate electricity consumption into individual appliances. Expand
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Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence
TLDR
A research agenda for making the smart grid a reality. Expand
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Agent-based control for decentralised demand side management in the smart grid
TLDR
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. Expand
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Agent-based micro-storage management for the Smart Grid
TLDR
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. Expand
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An efficient and versatile approach to trust and reputation using hierarchical Bayesian modelling
TLDR
We present HABIT, a Hierarchical And Bayesian Inferred Trust model for assessing how much an agent should trust its peers based on direct and third party information. Expand
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Trading agents for the smart electricity grid
TLDR
The vision of the Smart Grid includes the creation of intelligent electricity supply networks to allow efficient use of energy resources, reduce carbon emissions and are robust to failures. Expand
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Bounded decentralised coordination over multiple objectives
TLDR
We extend the max-sum message-passing algorithm for decentralised coordination to compute bounded approximate solutions to multi-objective decentralised constraint optimisation problems (MO-DCOPs). Expand
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