In this paper we propose an intelligent control scheme based on a multiagent system composed of two main components: a logical planner and forecaster obtained by machine learning techniques. The chosen benchmark application lays in the field of smart energy management, were we consider the concept of a prosumer node. We discuss a case-study where a simplified multi-agent system is applied to the supervision of an air conditioner, leading to an energy saving of about 17%.

Application of Hybrid Agents to Smart Energy Management of a Prosumer Node

CAIANIELLO, Pasquale;COSTANTINI, STEFANIA;DE GASPERIS, GIOVANNI;FLORIO, NIVA;GOBBO, FEDERICO
2013

Abstract

In this paper we propose an intelligent control scheme based on a multiagent system composed of two main components: a logical planner and forecaster obtained by machine learning techniques. The chosen benchmark application lays in the field of smart energy management, were we consider the concept of a prosumer node. We discuss a case-study where a simplified multi-agent system is applied to the supervision of an air conditioner, leading to an energy saving of about 17%.
978-3-31-900550-8
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11697/36609
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