SMART HOME CONTROLLER: OTIMIZAÇÃO MULTI-OBJETIVO UTILIZANDO A META-HEURÍSTICA PSO
This paper proposes a solution to the Smart Home Controller (SHC) Intelligent Load Controller
model using the Particle Swarm Optimization (PSO) meta-heuristic technique. SHC has been modeled so that it
can contemplate the energy cost, the comfort of the users or a combination of both. Conventional optimization
techniques become very slow in relation to the convergence rate and when the number of devices is part of the
demand response (DR), making them unviable for daily use. However, modern techniques based on heuristics
have overcome these disadvantages. In this article we compare the results of the SHC solution with Linear
Programming and PSO.