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© 2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

[...]the electric storage problems, strength of the generating plants, one-way communication, resilience problem and the shortage of fossil fuel. Related Work The implementation of heuristic optimization algorithm has been proposed in order to derive solutions within a reasonable amount of execution time. Because of its ability to handle complex problems of nonlinear nature, extra decision variables can be included without increasing the execution time. The technical impact of this incorporation is easy to understand in terms of cost saving on a monthly and annual basis [32]. [...]the renewable energy input does not impact challenges to the entire operation and balancing of the power grid. The f(x)∈[0,1] is the fitness function. [...]the distance between each runner and the number of the runners is computed using Equation (12): N(x)=12(tanh(4×f(x)−2)+1) by default, the number of runner is proportional to its fitness and is computed using Equation (12): ni=[K,Nir], where K is the maximum number of runner and ni denotes the number of the runners generated by the solution at iteration i after sorting.

Details

Title
An Efficient Power Scheduling in Smart Homes Using Jaya Based Optimization with Time-of-Use and Critical Peak Pricing Schemes
Author
Omaji Samuel; Sakeena Javaid; Javaid, Nadeem; Syed Hassan Ahmed; Muhammad Khalil Afzal; Ishmanov, Farruh
Publication year
2018
Publication date
Nov 2018
Publisher
MDPI AG
e-ISSN
19961073
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2316361780
Copyright
© 2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.