Outputs (2)

DRL-based Carbon Emission Optimization Method for the Vehicular Reverse Offloading System (2025)
Presentation / Conference Contribution
Tang, H., Liu, C., Liu, J., Sun, H., Jiao, P., & Wu, H. (2025, August). DRL-based Carbon Emission Optimization Method for the Vehicular Reverse Offloading System. Paper presented at IEEE/CIC International Conference on Communications in China, Shanghai, China

The rapid development of Intelligent Transportation Systems (ITS) and the Internet of Vehicles (IoV) has revolutionized transportation networks by enabling real-time communication between vehicles, road infrastructure, and cloud systems. One such adv... Read More about DRL-based Carbon Emission Optimization Method for the Vehicular Reverse Offloading System.

An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning (2025)
Presentation / Conference Contribution
Liu, J., Kazemtabrizi, B., Du, H., Matthews, P., & Sun, H. (2024, November). An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning. Presented at 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, USA

With the increasing integration of renewable energy sources into the power grid, accurate and reliable ultra-short-term forecasting of wind power is critical for optimizing grid stability and energy efficiency, especially for a highly dynamic and var... Read More about An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning.