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A Study on the Building Energy Analysis and Algorithm of Energy Management System  

Han, Byung-Jo (한양대 전자전기제어계측공학과)
Park, Ki-Kwang (한양대 전자전기제어계측공학과)
Koo, Kyung-Wan (호서대 국방과학기술학과)
Yang, Hai-Won (한양대 전자컴퓨터공학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.58, no.4, 2009 , pp. 505-510 More about this Journal
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.
Keywords
Demand Control; Energy Management System; Load Forecasting; Building Automation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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