Regression-based Online Anomaly Detection for Smart Grid Data

18 Jun 2016Xiufeng LiuPer Sieverts Nielsen

With the widely used smart meters in the energy sector, anomaly detection becomes a crucial mean to study the unusual consumption behaviors of customers, and to discover unexpected events of using energy promptly. Detecting consumption anomalies is, essentially, a real-time big data analytics problem, which does data mining on a large amount of parallel data streams from smart meters... (read more)

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