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• W777746731 abstract "In this paper, building energy analysis and energy cost of power stand up and demand control over the power proposed to reduce power demand. Through analysis of the load power demand special day were able to apply the pattern. In addition, the existing rate of change of load forecasting to reduce the large errors were not previously available data. And daily schedules and special day for considering the exponential smoothing methods were used. Previous year's special day and the previous day due to the uncertainty of the load and the model components were considered. The maximum demand power control simulation using the fuzzy control of power does not exceed the contract. Through simulation, the benefits of the proposed energy-saving techniques were demonstrated." @default.
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• W777746731 date "2009-01-01" @default.
• W777746731 modified "2023-09-23" @default.
• W777746731 title "A Study on the Building Energy Analysis and Algorithm of Energy Management System" @default.
• W777746731 hasPublicationYear "2009" @default.
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