Revolutionizing Time Series Forecasting: Tackling Complexity and Boosting Accuracy
The article discusses different methods for predicting future trends in time series data. It looks at the challenges of working with complex and large-scale data, such as low accuracy and difficulty in making general predictions. The researchers compare various modeling techniques and suggest potential new directions for improving time series forecasting.
