一种基于神经元网络的从电表面板的能量记录中识别家用电器使用模式的程序

A. Prudenzi
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引用次数: 116

摘要

本文介绍了一种基于人工神经网络(ANN)的程序,用于从家庭电表面板上每15分钟记录的日常能源记录中识别一些主要家用电器的使用模式。本文描述了所使用的体系结构,该体系结构基于人工神经网络分为多个后续阶段。将该程序应用于一些实际的日负荷图,这些图记录在几个家用电表上,证明了所提出方法的有效性。最后讨论了人工神经网络从电力公司通常可用的数据库中提取有关能源使用的进一步有用信息的效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A neuron nets based procedure for identifying domestic appliances pattern-of-use from energy recordings at meter panel
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.
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