IEEE

Physics-Informed LSTM-Based Time-Series Forecasting Model for Power Transformers

Abstract: The complexity of data and limited model generalization significantly hinder prediction accuracy. A physics-informed long short-term memory model with adaptive weight assignment (PILSTM-AWA) ...
IEEE

Air Quality Prediction Based on Time Series Decomposition and Convolutional Sparse Self-Attention Mechanism Transformer Model

Abstract: This study introduces an innovative air quality prediction model, TD-CS-Transformer, which fuses time series decomposition and convolutional sparse self-attention Transformer model. It ...