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APPARATUS AND METHOD FOR FINE-GRAINED WEATHER NORMALIZATION OF ENERGY CONSUMPTION BASELINE DATA
APPARATUS AND METHOD FOR FINE-GRAINED WEATHER NORMALIZATION OF ENERGY CONSUMPTION BASELINE DATA
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机译:能耗基线数据的细粒度天气归一化的装置和方法
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摘要
An apparatus for estimating a building's energy consumption, including thermal response processor and a regression engine. The thermal response processor generates energy use data sets, each having energy consumption values along with corresponding time and outside temperature values. The consumption values within each of the data sets are shifted by one of a plurality of lag values relative to the time and temperature values, where each of the plurality of lag values is different from other lag values. The thermal response processor performs a regression analysis on each of the energy use data sets to yield corresponding regression model parameters and a corresponding residual. The thermal response processor determines a least valued residual from all residuals yielded by the regression engine, the least valued residual indicating an energy lag for the building, and regression model parameters that correspond to the least valued residual are employed to estimate the energy consumption.
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