Abstract
We consider the energy scheduling problem for a domestic setting proposed and modeled by Della Croce et al. (Comput Ind Eng 109:169–178, 2017). We solve it by means of a Simulated Annealing approach based on a complex neighborhood structure. We perform an extensive and statistically-principled tuning phase using F-Race, given that the solver is dependent on a set of parameters, which comprises the classical ones of Simulated Annealing and others related to the neighborhood structure. The experimental analysis shows that our solver outperforms all four methods proposed in the original work by Della Croce et al. in almost all instances.
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28 February 2020
A Correction to this paper has been published: https://doi.org/10.1007/s11590-020-01559-2
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Acknowledgements
We thank Federico Della Croce, Michele Garraffa, and Fabio Salassa for kindly answering all our questions about their work and for providing us the source code of the solution methods used in their article.
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Bastianetto, E., Ceschia, S. & Schaerf, A. Solving a home energy management problem by Simulated Annealing. Optim Lett 15, 1553–1564 (2021). https://doi.org/10.1007/s11590-020-01545-8
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DOI: https://doi.org/10.1007/s11590-020-01545-8