Shen-Qiang Gan

A Hybrid Convolutional Network for Forecasting Dynamic Carbon Emission Factors of Electricity Users

With the accelerating transition toward low-carbon power systems, dynamic carbon emission factor (DCEF) forecasting has become increasingly important for carbon accounting and real-time carbon management. However, the complex nonlinearity, strong temporal dependency, and occasional near-zero fluctuations in DCEF sequen...