Jingyun Sha

Tackling carbon price volatility: A synchronous joint-decomposition and multi-scale spatiotemporal feature learning for interval-valued forecasting

Precise carbon prices forecasting is important for the optimal allocation of resources within carbon markets. While research has shifted from point forecasting to interval forecasting, the non-linear, non-stationary, and dynamical interval-valued carbon price volatility continue...