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• W2912305786 abstract "This paper presents a robust optimization model for scheduling of appliances in home energy local network while considering the user behavior uncertainty based on time-varying price. Mathematical models for the renewable energy resources, energy storage system, and electric vehicle are introduced, as well as the essential, shiftable and the throttleable appliances. In order to reduce loads congestion during operation periods based on robust optimization, a robust scatter index (RSI) method is proposed and integrated into the load scheduling in the form of additional constraints. A new user's satisfaction level with RSI is proposed in the objective function to reflect the comfort violation caused by the user behavior. These constraints and the objective function are reformulated to be a nonlinear problem, which is solved via the nonlinear programming method. Numerical case studies illustrate the effectiveness of the proposed method and demonstrate the application in load scheduling." @default.
• W2912305786 created "2019-02-21" @default.
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• W2912305786 date "2019-07-01" @default.
• W2912305786 modified "2023-09-23" @default.
• W2912305786 title "Robust Scatter Index Method for the Appliances Scheduling of Home Energy Local Network With User Behavior Uncertainty" @default.
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• W2912305786 doi "https://doi.org/10.1109/tii.2019.2897126" @default.
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