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• W2729381506 abstract "This paper considers the problem of optimal battery usage under real-time pricing scenarios. The problem is formulated as a finite-horizon optimization problem, and solved via an incremental algorithm that is provably optimal in the long run. The proposed approach gives rise to a class of algorithms that utilize the battery state-of-charge to make usage decisions in real-time. The proposed algorithm is simple to implement, easy to modify for a variety use cases, and outperform the state-of-the-art technique such as Markov Decision Process (MDP) based. The robustness and flexibility of the proposed algorithm is tested extensively via numerical studies." @default.
• W2729381506 created "2017-07-14" @default.
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• W2729381506 date "2017-05-01" @default.
• W2729381506 modified "2023-09-24" @default.
• W2729381506 title "Optimal utilization of storage systems under real-time pricing" @default.
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• W2729381506 doi "https://doi.org/10.1109/iccw.2017.7962812" @default.
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