Title

Particle Swarm Optimization For Load Balancing In Green Smart Homes

Abstract

Particle Swarm Optimization (PSO) is a promising evolutionary algorithm, which has been used in a wide range of applications, due to its simple implementation, fast convergence, parallel behavior, and versatility in working with continuous and discrete domains. In this paper, we consider its application to the load balancing problem, in green smart homes. Specifically, an adapted version of the Binary PSO has been used to determine the optimal distribution of energy resources, across different green energy sources in a green smart home. The case study of interest considers the usage of solar and wind energy, as green energy sources for the green smart home. Results demonstrate the effectiveness of the algorithm, in terms of the optimal outcome (efficient distribution of energy resources), finding installation material surplus, and the execution speed of the algorithm. © 2011 IEEE.

Publication Date

8-29-2011

Publication Title

2011 IEEE Congress of Evolutionary Computation, CEC 2011

Number of Pages

715-720

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/CEC.2011.5949689

Socpus ID

80051976607 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/80051976607

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