Optimization Technique in Smart Home Environment: A Systematic Review

Authors

Keywords:

Smart Home, Optimization, Heuristic Algorithm, Meta-Heuristic Algorithm

Abstract

A smart home is a concept that seeks to use as little energy as possible while maximizing occupant comfort. The main difficulty encountered by power supply providers is optimising the power requirements for smart home devices in a smart grid, especially during peak times due to its significant impact on the reliability of a power grid. It gets harder for the user to manage or use each individual device in a smart home properly as the number of devices increases. Optimization models may be used to regulate smart appliances, but they must be effective and realistic To reduce power usage and increase user happiness, we describe heuristic and meta-heuristic optimization techniques in this work for home energy management systems. When faced with difficult, sophisticated optimisation challenges, such as those arising in the design of power electronics converters, metaheuristic techniques offer a practical option. An alternative strategy involves using optimisation heuristics like evolutionary algorithms, neural networks, genetic algorithms, tabu search, hybrid approaches, and many others.

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Optimization Methods

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Published

17.05.2023

How to Cite

Poonam, & Singh, G. . (2023). Optimization Technique in Smart Home Environment: A Systematic Review. International Journal of Intelligent Systems and Applications in Engineering, 11(6s), 558–562. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2886

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Research Article