Multi-agent Gaussian Adaptive Resonance Theory Map for building energy control and thermal comfort management of UCLan's WestLakes Samuel Lindow Building

• We created a UCLan WestLakes Samuel Lindow Building heat simulation model.
• We proposed a Gaussian ARTMAP multi-agent intelligent heat management system.
• Gaussian ARTMAP provides better heat distribution in comparison to other systems.
• The Gaussian ARTMAP has lower desired to the recorded temperature values.
• The Gaussian ARTMAP has produced lesser heat produced by the source (boilers).

This paper presents a Gaussian Adaptive Resonance Theory Map (gARTMAP) incorporated to a multi-agent system (MAS) for building intelligent heat management system (IHMS), or the gARTMAP-MAS IHMS. The gARTMAP aims to maintain the desired space temperature defined by the building occupants (thermal comfort management) and improve energy efficiency by intelligently controlling the energy flow and usage in the building (building energy control) with minimal waste. The gARTMAP-MAS IHMS is a three-layer MAS, consisting of an agent in the Source Layer responsible for building energy control, agents in the User Layer for thermal comfort management, and an agent in the Mediator Layer which mediates the communication between the other two layers. Existing MAS typically uses a rule-based approach for its agents, and the rules are generally pre-defined. The incorporation of the gARTMAP to the agents provides additional adaptive capabilities via the use of its online learning mechanism. Simulation results demonstrated that the gARTMAP-MAS IHMS provides better (automated) energy control and thermal comfort management for a building environment in comparison to the existing rule-based MAS approach.