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
2013-01-01
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%.File in questo prodotto:
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