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Rapheal Nwobi

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Open access 2026

Detection and confirmation of energy theft in advanced metering infrastructure using long short-term bidirectional memory and fuzzy inference system models

By combining machine learning, anomaly detection, and fuzzy logic, the BiLSTM-based framework showed an improvement in detection accuracy and reduced non-technical losses, making it an important tool for improving utility operations and ensuring fair energy distribution.

I. Abdulwahab, Longji Dajab, Abubakar Umar et al. · 0 citations

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