Victor Nutt

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A machine learning based model to monitor the smart grid for any suspicious activity or malicious attack is presented in this paper. The model is designed to detect and classify anomalies in the sensory data and is helpful in ensuring the security and stability of the smart grid. The model relies on the real time data collected using wireless sensor(More)
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