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- W3126631267 abstract "Energy demand management is an important technique for smart grids, under the paradigm of smart cities. Direct control of devices is useful for demand management, but it has the disadvantage of affecting user comfort. This article presents an approach for defining an index to estimate the discomfort associated with an active demand management consisting of the interruption of domestic electric water heaters to perform a load shifting. The index is defined based on estimations of water utilization and water temperature using continuous power consumption measurements of water heaters. A stochastic forecasting model is applied, including an Extra Trees Regressor and a linear model for water temperature. Monte Carlo simulations are performed to calculate the defined index. The evaluation of the proposed approach is performed using real data for both the forecasting model and the temperature model. The real effect of interruptions on the water temperature of two water heaters is compared to validate that the thermal discomfort index correctly models the impact on temperature. This result allows ordering devices by their thermal discomfort index and having a fair criterion to decide which ones should be interrupted." @default.
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- W3126631267 date "2021-01-01" @default.
- W3126631267 modified "2023-09-27" @default.
- W3126631267 title "Demand Response Control in Electric Water Heaters: Evaluation of Impact on Thermal Comfort" @default.
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- W3126631267 doi "https://doi.org/10.1007/978-3-030-69136-3_6" @default.
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