Abstract: In multivariate time series forecasting, transformer-based methods have gained attention for their ability to capture complex dependencies and are often integrated with graph neural networks ...

2.You load a CSV file containing daily sales data into a DataFrame, parse the 'date' column as datetime, and perform some initial data exploration 3.You group the data by date and resample it to a ...

Abstract: Given the strong randomness and complex influencing factors of power load data, as well as the insufficient prediction accuracy of traditional single models, this paper proposes a ...