Staff profile

• Low-Carbon Energy Transition, Smart Grid, Emission Estimation, Virtual Power Plant

Conference Paper

• An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning
  
  Liu, J., Kazemtabrizi, B., Du, H., Matthews, P., & Sun, H. (2025). An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning. In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE. https://doi.org/10.1109/IECON55916.2024.10905784