Jiawen Liu

An optimal hybrid framework for carbon price prediction using time series analysis

The experimental findings indicate that the proposed methodology yields consistent falls in error in comparison with the general statistical and deep learning baselines on the datasets analyzed, and the results show that the methodology has been improved in terms of R2 in forecasts.