Precise carbon price prediction is crucial for informing climate policies, maintaining carbon
markets, and driving global green transformation. Currently, decomposition integration …

Accurate carbon price forecasting is crucial for market participants, as it facilitates decision-
making based on comprehensive information, thereby ensuring effective management and …

With the high complexity and heterogeneity of house prices, and massive factors influencing
house price fluctuations bring critical challenges for house prices forecasting. To capture the …

Bitcoin price volatility fascinates both researchers and investors, studying features that
influence its movement. This paper expends on previous research and examines time series …

Photovoltaic (PV) power interval prediction can provide a variation range of prediction
results, which is of great significance to promoting the optimization of power grid dispatching …

Decomposition-ensemble models (DEMs) are popular models for time-series forecasting, in
which the final prediction is assembled from those of the decomposed subsequences. As a …

Accurately predicting carbon prices is crucial for effective government decision-making and
maintenance the stable operation of carbon markets. However, the instability and …

Forecasting carbon prices is a pivotal topic in achieving the targets of carbon neutrality and
carbon peaking. However, the complex and time-evolving characteristics inherent in carbon …