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System for demand response dispatch prediction employing weather induced facility energy consumption characterizations

机译:利用天气诱发设施能耗特征描述需求响应调度预测系统

摘要

A method for dispatching buildings, including: generating data sets, each having energy values along with corresponding time and outside temperature values, wherein the energy values are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values; performing a machine learning model analysis on the each of the data sets; determining a least valued residual that indicates a corresponding energy lag for each of the buildings, the corresponding energy lag describes a transient energy consumption period preceding a change in outside temperature; using outside temperatures, model parameters, and energy lags for all of the buildings to estimate a cumulative energy consumption for the buildings, and to predict a dispatch order reception time for the demand response program event; and employing the dispatch order reception time to prepare actions required to control the each of the buildings to optimally shed energy specified in a dispatch order.
机译:一种用于调度建筑物的方法,包括:生成数据集,每个数据集具有能量值以及对应的时间和外部温度值,其中,所述能量值相对于对应的时间和外部温度值移动多个滞后值之一;对每个数据集执行机器学习模型分析;确定表示每个建筑物的相应能量滞后的最小价值残差,该相应能量滞后描述外部温度变化之前的瞬态能耗周期;使用所有建筑物的外部温度,模型参数和能源滞后来估算建筑物的累积能耗,并预测需求响应计划事件的调度订单接收时间;利用调度命令接收时间来准备控制每个建筑物以最佳地释放调度命令中指定的能量所需的动作。

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