Smart cities face concept drift—when sensor data streams shift over time, degrading AI predictions.
Our solution: an edge micro data center (EMDC) architecture with automated drift detection (LSTM + PHT + ADWIN + KSWIN).
Results: MAPE reduced from 8.5% to 3.88% in real-world smart building datasets.
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🌟 Full paper in: https://zenodo.org/records/14944394