Transformer Architectures for Multivariate Time Series Forecasting
Multivariate time series data constitutes the fundamental basis for decision making across real-world scenarios such as financial trading, intensive care, energy dispatch and the Internet of Things. Traditional statistical methods and early deep learning architectures including recurrent neural networks and convolution...