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- W4309113085 abstract "Micro-grid is designed to operate with an Energy Management System (EMS), which dispatches the units, in order to optimize generation costs. One of the inputs to this system corresponds to the prediction of demand and also incorporates a demand management system. The objective of this paper is to design the demand prediction block, taking into account the non-linear behavior presented by the demand. The model is designed to deliver the predictions that EMS needs, that is, for a 2-day horizon. When deriving the model, a stability analysis based on the fuzzy theorems is included in the identification stages. The final model consists of four rules and 96 regressors, that is, the future demand depends on the demand of the previous day. As a result, a model is obtained that manages to deliver predictions for horizons of 2 days, with errors of around 14%. The prediction was also analyzed using the EMS optimizer; the fuzzy model prediction had an error 11% lower than the prediction originally used, which translated into a 15% decrease in costs for the 2-day optimization. The second objective corresponds to developing a methodology to model the variation in consumption in the face of demand management signals, using this fuzzy model." @default.
- W4309113085 created "2022-11-22" @default.
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- W4309113085 date "2022-11-16" @default.
- W4309113085 modified "2023-09-24" @default.
- W4309113085 title "Design and Development of Micro-grid Networks for Demand Management System Using Fuzzy Logic" @default.
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- W4309113085 doi "https://doi.org/10.1007/978-981-19-4182-5_20" @default.
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