SEP 3, 2026 · PREPRINT
A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites
arXiv
This is an unpublished methodological study proposing a novel machine-learning approach for anomaly detection in energy data, without clinical or patient outcomes, peer review, or validation against ground truth.
Study details
InterventionEnergy-aware Minimum Distortion Embedding (…
ComparatorConventional anomaly detection baselines (n…