牛津能源研究所：2025年全球石油需求预测报告：机器学习技术的应用（英文版）

The data processing stage is instrumental in transforming raw data into a format that is amenable to effective modelling. This process encompasses several critical steps: data cleaning, data transformation, and data splitting. Each step is meticulously designed to address specific challenges inherent in time series forecasting, such as handling missing values, ensuring data stationarity, and optimizing the dataset for training and validation purposes. Moreover, the same approach is followed w