Abstract
Power supply is one of the basic needs in modern smart homes. Computer-aid tools help optimizing energy utilization, contributing to sustainable goals of modern societies. For this purpose, this article presents a mathematical formulation to the household energy planning problem and a specific resolution method to build schedules for using deferrable electric that can reduce the cost of the electricity bill while keeping user satisfaction at a satisfactory level. User satisfaction have a great variability, since it is based on human preferences, thus a stochastic simulation-optimization approach is applied for handling uncertainty in the optimization process. Results over instances based on real-world data show the competitiveness of the proposed approach, which is able to compute different compromise solution accounting for the trade-off between these two conflicting optimization criteria.
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Acknowledgements
J. Toutouh research was partially funded by European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 799078, by the Junta de Andalucía UMA18-FEDERJA-003, European Union H2020-ICT-2019-3, and the Systems that Learn Initiative at MIT CSAIL.
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Rossit, D.G., Nesmachnow, S., Toutouh, J., Luna, F. (2021). A Simulation-Optimization Approach for the Household Energy Planning Problem Considering Uncertainty in Users Preferences. In: Rossit, D.A., Tohmé, F., Mejía Delgadillo, G. (eds) Production Research. ICPR-Americas 2020. Communications in Computer and Information Science, vol 1408. Springer, Cham. https://doi.org/10.1007/978-3-030-76310-7_20
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