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A neuron nets based procedure for identifying domestic appliances pattern-of-use from energy recordings at meter panel

机译:基于神经元网的识别家用电器在仪表面板中识别家用电器的使用模式

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The paper illustrates an artificial neural network (ANN) based procedure for the identification of pattern-of-use of some main domestic electric appliances from daily profiles of energy recordings taken at household's meter panel at 15 minute steps. The paper describes the architecture used which is structured into multiple subsequent stages based on ANNs. The application of the procedure to some real daily load diagrams as recorded at few household meters demonstrates the efficiency of the proposed approach. The utility of ANNs for extracting further useful information concerning energy usage from data bases typically available for electric companies is finally discussed.
机译:本文说明了一种基于人工神经网络(ANN)的过程,用于识别一些主要的国内电器模式的使用模式,从家庭仪表面板的每日仪表中的每日曲线在15分钟的步骤。本文介绍了基于ANN的多个后续阶段的结构使用的架构。将程序应用于几个家庭仪表中记录的一些实时载荷图展示了所提出的方法的效率。最终讨论了用于提取有关电气公司的数据库的能源使用的进一步有用信息的ANN的效用。

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