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Demand-side Management (DSM) systems have became common in both industrial and homely applications. Basically, these systems help the customers to use electricity more efficiency. Commercial DSM systems are based on the knowledge of instantaneous load power request and, using a priority table, they make their choice. These approaches embed low-level intelligence, hence they can guarantee only coarse...
Artificial intelligence has devised solutions for a wide class of scheduling problems that can be applied also to power management and in general to building-automation. This paper presents one of these methods, based on the multi agent system (MAS) paradigm for a demand-side management system.
This work proposes a model of an intelligent short term demand side management system (DSM) based on a distributed measurement and management data system. The system is designed to avoid peaks of power request greater than a given threshold and to give maximum comfort to user. The DSM problem is modeled as a multi objectives scheduling problem and it is solved using a metaheuristic approach based...
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