Energy efficiency is a topic that has attracted the attention of researchers in recent years, in order to seek sustainability solutions for energy production and reduction of its costs, aiming to provide a balance between development and protection of natural resources. Thus, we proposed the EnergySaver software that has as its objective the monitoring of electric energy consumption, from data capture to consumption forecast for the following month. To create Energy Saver, we used Open Source technologies applied to the Internet of Things (IoT), embedded systems, and Long Short-Term Memory Neural Networks (LSTM). However, in order to have harmony between the current researchers and those who may manipulate this software in the future, it is essential to create a Software Manual, where all the details of its implementation are described in detail. Therefore, this article describes all the steps for the implementation of the system, from the methodological scheme of the system, its modeling with UML, to the modules that compose it, becoming a Manual for its use.
翻译：近年来,能源效率是一个引起研究人员注意的议题,目的是为能源生产和降低其成本寻求可持续的解决办法,目的是在自然资源开发和保护之间求得平衡,因此,我们提出了能源保护软件,其目标是监测电能消耗,从数据采集到下一个月的消费预测。为了创建能源保护器,我们使用了用于物联网、嵌入系统和长期记忆神经网络的开放源技术。然而,为了在目前的研究人员和今后可能操纵这一软件的人之间实现和谐,必须制定一本软件手册,其中详细说明其实施的所有细节。因此,本文章描述了实施该系统的所有步骤,从系统的方法方案、其与UML的建模到构成该系统的模块,成为使用该软件的手册。
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