1 Introduction

2 Related Works and Background
2.1 Data-Centric Artificial Intelligence (Data-Centric AI)
2.2 Transformer for Time Series Forecasting

3 Taxonomy

4 Input Data: How are datasets pre-processed before being fed into models?
4.1 Dataset Preparation
4.2 Data Preprocessing

5 Data-Model Interaction: How does the data and model interact with each other?
5.1 Data Representation: Input Embedding & Time Position Encoding
5.2 Modeling

6 Output Evaluation: How are models evaluated on the data?
6.1 Predictive Performance
6.2 Computational Performance

7 Future Research Opportunities
7.1 Input Dataset
7.2 Input Data Representation
7.3 Evaluation

8 Conclusion