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rural-voltage-detection-models

Time Series Forecasting
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time-series
anomaly-detection
voltage
power-grid
timesnet
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Sheldon Zheng commited on
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Upload organized model checkpoints for rural voltage anomaly detection

Browse files

- RuralVoltage: 6 models (VoltageTimesNet_v2 optimal, F1=0.6622)
- PSM: 9 models (TimesNet optimal, F1=0.9735)
- KagglePQ: 5 models
- MSL/SMAP/SMD: 3 TimesNet baselines
- Ablation: seq_len and alpha experiments

Files changed (36) hide show
  1. KagglePQ/DLinear_sl64_dm64/checkpoint.pth +3 -0
  2. KagglePQ/PatchTST_sl64_dm64/checkpoint.pth +3 -0
  3. KagglePQ/TimesNet_sl64_dm64/checkpoint.pth +3 -0
  4. KagglePQ/VoltageTimesNet_sl64_dm64/checkpoint.pth +3 -0
  5. KagglePQ/VoltageTimesNet_v2_sl64_dm64/checkpoint.pth +3 -0
  6. MSL/TimesNet_sl100_dm64/checkpoint.pth +3 -0
  7. PSM/Autoformer_sl100_dm64/checkpoint.pth +3 -0
  8. PSM/DLinear_sl100_dm64/checkpoint.pth +3 -0
  9. PSM/MTSTimesNet_sl100_dm64/checkpoint.pth +3 -0
  10. PSM/TPATimesNet_sl100_dm64/checkpoint.pth +3 -0
  11. PSM/TimesNet_sl100_dm64/checkpoint.pth +3 -0
  12. PSM/Transformer_sl100_dm64/checkpoint.pth +3 -0
  13. PSM/VoltageTimesNet_sl100_dm64/checkpoint.pth +3 -0
  14. PSM/iTransformer_sl100_dm64/checkpoint.pth +3 -0
  15. README.md +92 -0
  16. RuralVoltage/DLinear_sl100_dm64/checkpoint.pth +3 -0
  17. RuralVoltage/PatchTST_sl100_dm64/checkpoint.pth +3 -0
  18. RuralVoltage/TPATimesNet_sl100_dm64/checkpoint.pth +3 -0
  19. RuralVoltage/TimesNet_sl100_dm64/checkpoint.pth +3 -0
  20. RuralVoltage/VoltageTimesNet_sl100_dm64/checkpoint.pth +3 -0
  21. RuralVoltage/VoltageTimesNet_v2_sl100_dm64/checkpoint.pth +3 -0
  22. SMAP/TimesNet_sl100_dm64/checkpoint.pth +3 -0
  23. SMD/TimesNet_sl100_dm64/checkpoint.pth +3 -0
  24. ablation/alpha/TimesNet_baseline/checkpoint.pth +3 -0
  25. ablation/alpha/VoltageTimesNet_alpha0.5/checkpoint.pth +3 -0
  26. ablation/alpha/VoltageTimesNet_alpha0.6/checkpoint.pth +3 -0
  27. ablation/alpha/VoltageTimesNet_alpha0.7/checkpoint.pth +3 -0
  28. ablation/alpha/VoltageTimesNet_alpha0.8/checkpoint.pth +3 -0
  29. ablation/alpha/VoltageTimesNet_alpha0.9/checkpoint.pth +3 -0
  30. ablation/seq_len/TimesNet_sl100/checkpoint.pth +3 -0
  31. ablation/seq_len/TimesNet_sl200/checkpoint.pth +3 -0
  32. ablation/seq_len/TimesNet_sl50/checkpoint.pth +3 -0
  33. ablation/seq_len/TimesNet_sl500/checkpoint.pth +3 -0
  34. ablation/seq_len/VoltageTimesNet_sl100/checkpoint.pth +3 -0
  35. ablation/seq_len/VoltageTimesNet_sl360/checkpoint.pth +3 -0
  36. ablation/seq_len/VoltageTimesNet_sl720/checkpoint.pth +3 -0
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+ # Rural Low-Voltage Detection Models
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+
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+ 农村低压配电网电压异常检测实验模型检查点。
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+
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+ ## 目录结构
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+
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+ ```
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+ newest_models/
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+ ├── RuralVoltage/ # 农村电压数据集（论文核心）
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+ │ ├── TimesNet_sl100_dm64/
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+ │ ├── VoltageTimesNet_sl100_dm64/
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+ │ ├── VoltageTimesNet_v2_sl100_dm64/ # 论文最优模型
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+ │ ├── TPATimesNet_sl100_dm64/
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+ │ ├── DLinear_sl100_dm64/
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+ │ └── PatchTST_sl100_dm64/
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+ ├── PSM/ # PSM 公开基准数据集
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+ │ ├── TimesNet_sl100_dm64/
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+ │ ├── VoltageTimesNet_sl100_dm64/
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+ │ ├── TPATimesNet_sl100_dm64/
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+ │ ├── MTSTimesNet_sl100_dm64/
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+ │ ├── DLinear_sl100_dm64/
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+ │ ├── Autoformer_sl100_dm64/
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+ │ ├── iTransformer_sl100_dm64/
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+ │ ├── Transformer_sl100_dm64/
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+ │ └── HybridTimesNet_sl100_dm64/
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+ ├── KagglePQ/ # Kaggle 电力质量数据集
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+ │ ├── TimesNet_sl64_dm64/
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+ │ ├── VoltageTimesNet_sl64_dm64/
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+ │ ├── VoltageTimesNet_v2_sl64_dm64/
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+ │ ├── DLinear_sl64_dm64/
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+ │ └── PatchTST_sl64_dm64/
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+ ├── MSL/ # MSL 数据集
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+ │ └── TimesNet_sl100_dm64/
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+ ├── SMAP/ # SMAP 数据集
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+ │ └── TimesNet_sl100_dm64/
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+ ├── SMD/ # SMD 数据集
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+ │ └── TimesNet_sl100_dm64/
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+ └── ablation/ # 消融实验
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+ ├── seq_len/ # 序列长度消融
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+ │ ├── TimesNet_sl50/
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+ │ ├── TimesNet_sl100/
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+ │ ├── TimesNet_sl200/
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+ │ ├── TimesNet_sl500/
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+ │ ├── VoltageTimesNet_sl100/
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+ │ ├── VoltageTimesNet_sl360/
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+ │ └── VoltageTimesNet_sl720/
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+ └── alpha/ # 预设权重消融
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+ ├── TimesNet_baseline/
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+ └── VoltageTimesNet_alpha{0.5-0.9}/
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+ ```
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+
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+ ## 模型说明
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+
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+ | 模型 | 说明 |
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+ |------|------|
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+ | **VoltageTimesNet_v2** | 论文最终版本，包含可学习预设权重、异常敏感度增强、多尺度时域卷积 |
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+ | **VoltageTimesNet** | 早期版本，预设周期 + FFT 混合 |
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+ | **TPATimesNet** | 三相注意力机制 |
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+ | **TimesNet** | 基线模型，FFT + 2D卷积 |
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+ | **DLinear** | 轻量级基线 |
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+ | **PatchTST** | Patch 时序 Transformer |
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+
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+ ## 配置说明
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+
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+ - `sl100`: seq_len=100（输入序列长度）
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+ - `dm64`: d_model=64（隐藏维度）
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+ - `dm32`: d_model=32（小模型）
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+
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+ ## 论文最优结果
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+
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+ | 数据集 | 模型 | F1 Score |
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+ |--------|------|:--------:|
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+ | RuralVoltage | VoltageTimesNet_v2 | 0.6622 |
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+ | PSM | TimesNet | 0.9735 |
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+
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+ ## 使用方法
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+
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+ ```python
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+ import torch
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+
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+ # 加载模型
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+ checkpoint = torch.load('RuralVoltage/VoltageTimesNet_v2_sl100_dm64/checkpoint.pth')
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+ model.load_state_dict(checkpoint)
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+ ```
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+
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+ ## 训练日期
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+
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+ - RuralVoltage: 2026-02-02
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+ - PSM: 2026-01-25
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+ - KagglePQ: 2026-02-02
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+ - 消融实验: 2026-01-28
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+
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