A comparative analysis of deep neural network models in IoT‐based smart systems for energy prediction and theft detection
Praveen Kallukalam Sebastian,
K Deepa,
N. Neelima
et al.
Abstract:Traditional analog and digital meters are being substantially replaced with technological advances and the Internet of Things (IoT) introduction. The smart meter is highly preferred for accessing real‐time consumption, tariff calculation, and remote system control. These smart meters also prevent the majority from bypassing theft. Despite its intelligence, it cannot be 100% secure. An error in the readings can be caused by hacking or damage to meter components making the utility companies suffer significant lo… Show more
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