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US09568519B2 Building energy consumption forecasting procedure using ambient temperature, enthalpy, bias corrected weather forecast and outlier corrected sensor data 有权
使用环境温度，焓，偏差校正天气预报和离群值校正传感器数据建立能耗预测程序

Building energy consumption forecasting procedure using ambient temperature, enthalpy, bias corrected weather forecast and outlier corrected sensor data
Abstract:
A procedure for forecasting building energy consumption by evaluating performance of variable base degree and variable based enthalpy models. Dynamic weights are computed for the variable base degree and variable based enthalpy models and used in making future energy prediction based on weather forecast data. The weather forecast data may be corrected for bias. The variable base degree and variable based enthalpy models may be calibrated based on outlier removed historic energy consumption data and historic ambient air temperature data.
Abstract(Chinese):

通过评估可变基础程度和基于变量的焓模型的性能来预测建筑物能源消耗的程序。 对可变基础度和基于变量的焓模型计算动态权重，并用于基于天气预报数据进行未来能量预测。 天气预报数据可能会针对偏差予以纠正。 可变基准度和基于变量的焓模型可以基于离去的历史能量消耗数据和历史环境空气温度数据进行校准。

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