Energy optimization techniques for demand-side management in smart homes

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Abstract

Due to increase in population, demand of energy is increasing. To make energy demand efficient and reliable many techniques are integrated in home areas. We implemented Grey Wolf Optimization (GWO) using Time of Use (TOU) pricing scheme, to achieve an optimal balanced load and to minimize user comfort, then we compared the results of GWO and Bacterial Foraging Algorithm (BFA). The scheduling mechanism is capable of achieving the optimal operational time. Simulation results are presented to demonstrate the effectiveness of optimization techniques.

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Aimal, S., Parveez, K., Saba, A., Batool, S., Arshad, H., & Javaid, N. (2018). Energy optimization techniques for demand-side management in smart homes. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 8, pp. 515–524). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-65636-6_46

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