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- W2597111736 abstract "In this paper we investigate the applicability of the Chernoff inequality in finding an upper bound on the probability of the lower tail of the aggregate load. The importance of Demand Side Management (DSM) programs in power networks has increased recently, especially because of the new challenges like intensive use of renewable energy sources (wind, photovoltaic) and the expected high penetration of Electric Vehicles (EV). We show that Chernoff bound has the potential to be incorporated in DSM algorithms to integrate energy storage (e.g. batteries) elements into the power grid and facilitate load shifting." @default.
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- W2597111736 date "2016-11-12" @default.
- W2597111736 modified "2023-09-26" @default.
- W2597111736 title "Lower tail estimation with Chernoff bound and its application for balancing electricity load by storage admission" @default.
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