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.
· Journal of Engineering Resea... · 0 citations