m'list
1 LLM方法
网络：
- A decoder-only foundation model for time-series forecasting（TimesFM）
- Time-llm: Time series forecasting by reprogramming large language models（Time-LLM）
- Financial Fine-tuning a Large Time Series Model（对时序大模型微调以预测资产价格）
- ChatEV: Predicting electric vehicle charging demand as natural language processing （微调；EV）
综述：
- Foundation Models for Time Series Analysis: A Tutorial and Survey（TSFM (Time Series Foundation Models) 综述；2024）
- Time-Series Large Language Models: A Systematic Review of State-of-the-Art（综述；2025）
- Transformers in Time Series: A Survey（2023）
2 传统DL方法
网络：
- TCN
- Wavelet-Enhanced Hybrid LSTM-XGBoost Model for Predicting Time Series Containing Unpredictable Events（2025；LSTM-XGBoost，用于预测包含不可预测事件的时间序列，如疫情、电力消耗预测领域）【!】
综述：
- Deep Learning for Time Series Forecasting: Tutorial and Literature Survey（2022）
- Time-series forecasting with deep learning: a survey（2025；PHILOSOPHICAL）
- Advancements in time series analysis using deep learning（2025；Tesi_dottorato_Succetti.pdf）
- A survey on long short-term memory networks for time series prediction（2021；LSTM）
博文/视频教程：
3 其他
数据处理：
- Clustering of time series data—a survey（2005；Cited by 3600+）
其他Time Series任务：
4 reel?
see ya laterl