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Electricity-Metering in a Connected World: Virtual Sensors for Estimating the Electricity Consumption of IoT Appliances

机译:连接世界中的电力计量:用于估算物联网电器的电力消耗的虚拟传感器

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Due to rising electricity prices, there is an increasing incentive to save energy. Therefore, more and more large organizations intend to reduce their energy consumption. Often, their plans cannot be realized due to missing insights into the causes energy consumption. Centralized energy meters provide no information at which appliances the energy is spent and the installation of thousands of distributed meters is often not feasible from an economic point of view. To simplify the energy metering in large scale, we propose to make Internet of Things (IoT) appliances aware of their own electricity consumption using on software based virtual energy sensors. We demonstrate how to automatically generate those energy models for nearly arbitrary networked devices with a high accuracy. Our purely software based energy metering solution approximates the energy consumption of common office equipment with an error between 2.19% and 10.8%. Using our approach, IoT appliances become aware of their own energy expenditure. This greatly simplifies energy metering on device level granularity, giving appropriate user feedback and developing more energy-efficient appliances. All these benefits are achieved without the need for installing additional hardware sensors.
机译:由于电价上涨,省能越来越大。因此,越来越多的大型组织打算减少能源消耗。通常,由于缺少导致能源消耗的洞察力,他们的计划无法实现。集中的能量计不提供电器所花费的电器和数千分布式仪表的信息,从经济角度来看,千分之一的安装往往是不可行的。为了简化大规模的能量计量,我们建议使用基于软件的虚拟能量传感器的软件,意识到自己的电力消耗的东西(IOT)设备。我们展示了如何以高精度为几乎任意网络设备自动生成这些能量模型。我们纯粹的基于软件的能量计量解决方案近似于公共办公设备的能耗,误差为2.19%和10.8%。使用我们的方法,IOT设备意识到自己的能源支出。这极大地简化了设备级粒度的能量计量,提供适当的用户反馈和开发更节能的设备。无需安装额外的硬件传感器即可实现所有这些优势。

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