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System and Method for household appliance classification from the total power consumption by using deep learning

机译:通过深度学习从总功耗中对家用电器进行分类的系统和方法

摘要

The present invention relates to an apparatus and method for classifying power consumption based home appliances using deep learning, which can efficiently classify appliances in use by analyzing power data collected in a customer by applying deep learning. The apparatus includes a household appliance classification model generation module using an RNN for encoding the power consumption information data of a collected customer, learning a household appliance classification model, and generating the household appliance classification model; and a home appliance classification module for collecting and encoding the power consumption data currently in use and classifying and outputting a home appliance by using the home appliance model classification model generated by the home appliance model classification model generation module.
机译:本发明涉及一种使用深度学习对基于电力消耗的家用电器进行分类的设备和方法,其可以通过应用深度学习来分析在客户中收集的电力数据来有效地对使用中的设备进行分类。该装置包括:家用电器分类模型生成模块,其使用RNN对收集的顾客的电力消耗信息数据进行编码,学习家用电器分类模型并生成家用电器分类模型。家用电器分类模块,其用于收集和编码当前正在使用的功耗数据,并通过使用由家用电器模型分类模型生成模块生成的家用电器模型分类模型对家用电器进行分类和输出。

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