Multi-Task Time Series Forecasting of Plant Load Losses: A Comparative Study of a Temporal Fusion Transformer and LSTM
Evaluating the TFT relative to an LSTM to forecast load losses 16 weeks ahead and predict the plant that will likely fail, across three data scales reveals the empirical boundaries of transformer-based models, illustrating that data volume serves as a pivotal determinant for the effective activation of advanced self-at...