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An intelligent agent for home heating management (demonstration)

Intelligent software agents are increasingly being applied within the smart grid; a future vision of an electricity distribution network where information flows in both ways between between consumers and suppliers, and where electricity prices change in real-time in response to the current balance of supply and demand across the grid. In this demonstration, we show a home heating management agent that can learn the thermal characteristics of a home and predict local weather conditions, in order to provide home owners with realtime information about their daily heating costs. Furthermore, we demonstrate how the agent can then optimise heating use to minimise cost and carbon emissions whilst satisfying the home owners preferences for comfort.