Methodologies for Distributed Acquisition and Collection of Electrical Energy Data
Methodologies for Distributed Acquisition and Collection of Electrical Energy Data
复制标题
电能数据的分布式采集和收集方法
DOI：
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发表时间：
2019
期刊：
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通讯作者：
Thomas Kriechbaumer
中科院分区：
文献类型：
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作者：
Thomas Kriechbaumer
电能数据在智能电网和智能家居中发挥着至关重要的作用，以了解消费特性。高频电压和电流数据包含用于功率分解和设备识别任务的有价值的信息。我们开发用于数据采集的硬件和软件架构的方法，收集和压缩长期连续测量的分布式物联网（IoT）传感器。我们使用新引入的建筑级办公设备数据集（BLOND）对设计进行评估。
Electrical energy data play a vital role in Smart Grids and Smart Homes to understand consumption characteristics. High-frequency voltage and current data contain valuable information used in power disaggregation and appliance identification tasks. We develop methodologies for hard- and software architectures for data acquisition, collection, and compression of long-term continuous measurements with a distributed fleet of Internet of Things (IoT) sensors. We evaluate the design with the newly introduced Building-Level Office eNvironment Dataset (BLOND).