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Title	A Survey On Demand-Response In Hems: Algorithm Types, Objectives And Constraints
ID_Doc	5245
Authors	Sun M.; Anaadumba R.; Liu Q.; Liu X.; Yang Y.
Year	2019
Published	Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
DOI	http://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00095
Abstract	Introduction of HEMS (Home Energy Management System) has revolutionaries' smart homes. The integration of Demand Response(DR) programs for example, PSO (Particle Swarm Optimization), GA(Genetic Algorithm), WDN (Wind Driven Algorithm) and BPSO (Binary Particle Swarm Optimization) has further improve the HEMS in smart homes, making it possible for households to manage their electricity in accordance with the manner and preferences that fits their energy plan. This program has also helped the consumer keep track of his electricity consumption. With the incorporation of DR-programs in HEMS, it has enabled consumers manage the demand and supply of electricity consumption whiles encouraging the use of HEMS. Given this background on DR role in HEMS this paper gives a review on DR in HEMS taking in to consideration Algorithm types, Objectives and Algorithm constraints. © 2019 IEEE.
Author Keywords	Demand response; Genetic algorithm; Home energy management system; Particle swarm optimization; Wind driven algorithm and binary particle swarm optimization.

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