Unleashing the Power of Time Series Data with the Time Series Transformer

What is the Time Series Transformer? The Time Series Transformer (TST) is a state-of-the-art model for time series forecasting developed by researchers at Google and the University of Amsterdam. It is based on the transformer architecture, which has achieved impressive results on a variety of natural language processing tasks. One of the key features of the TST is that it can handle long input sequences and make accurate forecasts for a wide range of time series data, including financial, meteorological, and traffic data. It is also able to learn from multiple related time series simultaneously, which is important for many real-world applications. How does the Time Series Transformer work?