This poster addresses the use of smart home data to continuously predict the aggregated energy consumption of individual households. We introduce a device level energy consumption dataset recorded over 3 years wich includes high resolution energy measurements from electrical devices collected within a pilot program. Using data from that pilot, we analyze the performance of various machine learning mechanisms for continuous short-term load prediction.

中文翻译：

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海报摘要：高速智能家居数据流的实时负载预测

该海报介绍了使用智能家居数据来连续预测单个家庭的总能耗的情况。我们介绍了记录在过去3年中的设备级能耗数据集，其中包括从试点计划中收集的电气设备进行的高分辨率能耗测量。使用来自该飞行员的数据，我们分析了各种机器学习机制的性能，以进行连续的短期负载预测。