A. Rogers

Publications
Influence

Decentralised coordination of low-power embedded devices using the max-sum algorithm

A. Farinelli, A. Rogers, A. Petcu, N. Jennings
Computer Science
AAMAS
12 May 2008

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

NILMTK: an open source toolkit for non-intrusive load monitoring

Nipun Batra, J. Kelly, +5 authors M. Srivastava
Mathematics, Computer Science
e-Energy
15 April 2014

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

Bounded approximate decentralised coordination via the max-sum algorithm

A. Rogers, A. Farinelli, Ruben Stranders, N. Jennings
Computer Science, Mathematics
Artif. Intell.
31 July 2009

In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Expand

Non-Intrusive Load Monitoring Using Prior Models of General Appliance Types

Oliver Parson, S. Ghosh, M. Weal, A. Rogers
Computer Science
AAAI
22 July 2012

Non-intrusive appliance load monitoring (NIALM), or energy disaggregation, aims to break down a household’s aggregate electricity consumption into individual appliances. Expand

Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence

S. Ramchurn, Perukrishnen Vytelingum, A. Rogers, N. Jennings
Computer Science
CACM
1 April 2012

A research agenda for making the smart grid a reality. Expand

Agent-based control for decentralised demand side management in the smart grid

S. Ramchurn, Perukrishnen Vytelingum, A. Rogers, N. Jennings
Computer Science
AAMAS
2 May 2011

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

Agent-based micro-storage management for the Smart Grid

Perukrishnen Vytelingum, T. Voice, S. Ramchurn, A. Rogers, N. Jennings
Computer Science
AAMAS
10 May 2010

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

An efficient and versatile approach to trust and reputation using hierarchical Bayesian modelling

W. T. L. Teacy, Michael Luck, A. Rogers, N. Jennings
Computer Science
Artif. Intell.
1 December 2012

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

Trading agents for the smart electricity grid

Perukrishnen Vytelingum, S. Ramchurn, T. Voice, A. Rogers, N. Jennings
Computer Science
AAMAS
10 May 2010

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

Bounded decentralised coordination over multiple objectives

F. D. Fave, Ruben Stranders, A. Rogers, N. Jennings
Computer Science
AAMAS
2 May 2011

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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