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• W2019928084 abstract "A system comprising a utility company serving a set of electricity end-users is considered. The utility company can purchase energy from the wholesale market. It is also connected to a renewable energy production facility, from which it can harvest energy at no cost, and also to a battery for energy storage. Ahead of a scheduling horizon, the utility purchases energy based on forecasted demand and renewable energy production. During online operation, if the renewable energy is not adequate, real-time decisions with respect to user load shedding, energy procurement, and battery charging or discharging need to be made. The problem is cast in a stochastic approximation framework, and is solved online via a dual stochastic subgradient method with low per-slot complexity." @default.
• W2019928084 created "2016-06-24" @default.
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• W2019928084 date "2014-05-01" @default.
• W2019928084 modified "2023-09-25" @default.
• W2019928084 title "A stochastic approximation approach to load shedding inpower networks" @default.
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• W2019928084 doi "https://doi.org/10.1109/icassp.2014.6854849" @default.
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