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- W4315694928 abstract "In Demand Side Management framework, the models are generally complex, nonlinear, and highly constrained. This study proposes a price/power weighting-based linearization integrating a battery management system for an appliance-scheduling model to overcome constraints handling issues and computational challenges of the metaheuristic algorithms. To this end, the notion of a relative cost is introduced. Simulation results demonstrate that the proposed approach is capable of solving an appliance-scheduling problem, using Mixed Integer Linear Programming, with a shorter run time compared to the result provided by the nonlinear problem solved by genetic algorithm-based while ensuring self-consumption." @default.
- W4315694928 created "2023-01-12" @default.
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- W4315694928 date "2022-10-27" @default.
- W4315694928 modified "2023-09-27" @default.
- W4315694928 title "A Price/Power Weighting Based Linearization Approach With a Battery Management System for an Appliance-scheduling Model" @default.
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- W4315694928 doi "https://doi.org/10.1109/iceet56468.2022.10007320" @default.
- W4315694928 hasPublicationYear "2022" @default.
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