Data-Driven Spatiotemporal Feature Analysis and Intelligent Mitigation Methods for Power Line Loss
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资源简介：
This deposit provides the minimal dataset and reproducibility code for a study of spatiotemporal line-loss analysis in a 10 kV distribution network. It includes hourly smart-meter electrical records, network topology, ERA5 meteorological covariates, daily aggregates, anomaly event logs, and feature statistics, together with Python scripts to regenerate the main figures and summary tables. The materials support supervised loss-rate prediction, unsupervised non-technical loss detection, and attribution-guided mitigation analysis.
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Zenodo创建时间：
2026-07-20
