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rural-voltage-detection-models
Sheldon123z/rural-voltage-detection-models
rural-voltage-detection-models is a time series forecasting model from Sheldon123z. Use it for the time series forecasting task on the model card, and read the license before you ship it in a product.
Access
Public
Updated Feb 2, 2026
Repo size
659 MB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.pth719 MB · 100%
At a glance
- Task
- Time Series Forecasting
- Access
- Public
- Created
- Feb 2, 2026
- Updated
- Feb 2, 2026
- SHA
- 6aed2f39
Datasets
Model card
From the Hugging Face model README
Rural Low-Voltage Detection Models
农村低压配电网电压异常检测实验模型检查点。
🔗 相关链接
目录结构
├── RuralVoltage/ # 农村电压数据集（论文核心）
│ ├── TimesNet_sl100_dm64/
│ ├── VoltageTimesNet_sl100_dm64/
│ ├── VoltageTimesNet_v2_sl100_dm64/ # 论文最优模型
│ ├── TPATimesNet_sl100_dm64/
│ ├── DLinear_sl100_dm64/
│ └── PatchTST_sl100_dm64/
├── PSM/ # PSM 公开基准数据集
│ ├── TimesNet_sl100_dm64/
│ ├── VoltageTimesNet_sl100_dm64/
│ ├── TPATimesNet_sl100_dm64/
│ ├── MTSTimesNet_sl100_dm64/
│ ├── DLinear_sl100_dm64/
│ ├── Autoformer_sl100_dm64/
│ ├── iTransformer_sl100_dm64/
│ ├── Transformer_sl100_dm64/
│ └── HybridTimesNet_sl100_dm64/
├── KagglePQ/ # Kaggle 电力质量数据集
│ ├── TimesNet_sl64_dm64/
│ ├── VoltageTimesNet_sl64_dm64/
│ ├── VoltageTimesNet_v2_sl64_dm64/
│ ├── DLinear_sl64_dm64/
│ └── PatchTST_sl64_dm64/
├── MSL/ # MSL 数据集
│ └── TimesNet_sl100_dm64/
├── SMAP/ # SMAP 数据集
│ └── TimesNet_sl100_dm64/
├── SMD/ # SMD 数据集
│ └── TimesNet_sl100_dm64/
└── ablation/ # 消融实验
├── seq_len/ # 序列长度消融
└── alpha/ # 预设权重消融
模型说明
| 模型 | 说明 |
|---|---|
| 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 |
| VoltageTimesNet | 早期版本，预设周期 + FFT 混合 |
| TPATimesNet | 三相注意力机制 |
| TimesNet | 基线模型，FFT + 2D卷积 |
| DLinear | 轻量级基线 |
| PatchTST | Patch 时序 Transformer |
论文最优结果
| 数据集 | 模型 | F1 Score |
|---|---|---|
| RuralVoltage | VoltageTimesNet_v2 | 0.6622 |
| PSM | TimesNet | 0.9735 |
使用方法
import torch
from huggingface_hub import hf_hub_download
# 下载模型
checkpoint_path = hf_hub_download(
repo_id="Sheldon123z/rural-voltage-detection-models",
filename="RuralVoltage/VoltageTimesNet_v2_sl100_dm64/checkpoint.pth"
)
# 加载模型
checkpoint = torch.load(checkpoint_path)
model.load_state_dict(checkpoint)
配置说明
sl100: seq_len=100（输入序列长度）dm64: d_model=64（隐藏维度）
- Task
- Time Series Forecasting
- Languages
- zh, en
- Created
- Feb 2, 2026
- Updated
- Feb 2, 2026