Enhancing anomaly detection accuracy and interpretability in low-quality and class imbalanced data: A comprehensive approach
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DOI: 10.1016/j.apenergy.2023.122157
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- Wang, Yipeng & Yu, Tao & Luo, Qingquan & Liu, Xipeng & Wang, Ziyao & Wu, Yufeng & Pan, Zhenning, 2024. "Two-stage generalizable approach for electricity theft detection in new regions," Applied Energy, Elsevier, vol. 365(C).
- Peng Wang & Minhang Li & Xiaoying Zhi & Xiliang Liu & Zhixiang He & Ziyue Di & Xiang Zhu & Yanchen Zhu & Wenqiong Cui & Wenyu Deng & Wenhan Fan, 2024. "Deep Smooth Random Sampling and Association Attention for Air Quality Anomaly Detection," Mathematics, MDPI, vol. 12(13), pages 1-21, June.
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Keywords
Anomaly detection; Building electricity consumption; Deep learning; Low-quality data preprocessing; Class imbalance; Interpretable analysis;All these keywords.
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