Since its launch, China's crude oil futures (COIL) have gradually integrated with the
international financial market but undoubtedly face more risks. For the purpose of exploring …

Accurate oil price forecasts matter, yet the nonstationarity of oil prices makes forecasting a
challenging task. In this study, we propose a dynamic ensemble forecasting method for …

Prediction methods have become a hot topic in intelligent decision making. Most of the
existing prediction methods focus on the prediction accuracy and stability. As a second …

Financial time series forecasting is a difficult task due to the complexity and volatility of
financial markets. Machine learning models have been applied to tackle this task, but finding …

The demand for petroleum products has risen rapidly over the last two decades, owing
mostly to the residential, transports and industrial sectors. Precise mid and long-term …

To mitigate the impact of market uncertainty on trading investments, this paper proposes a
forecasting and investing framework for crude oil market by integrating interval models and …

This study investigates the predictability of a fixed uncertainty index (UI) for realized
variances (volatility) in the international stock markets from a high-frequency perspective …

In recent years, a series of environmental problems have come one after another under the
use of traditional fossil energy, such as greenhouse effect, acid rain, haze and so on. In …

Predictions of the oil price are critical to support intelligent decision-making for individual
investors, governments, and corporations, but a challenging task since there are complex …

As environmental concerns and the energy crisis intensify, advancing the use of new energy
sources such as wind and photovoltaic is an important means to achieve sustainable energy …