A Deep Learning Ensemble Method for Forecasting Daily Crude Oil Price Based on Snapshot Ensemble of Transformer Model

Mathematics

• Deep Learning Method 100%
• Autoregressive Integrated Moving Average 50%
• Auto Regressive Integrated Moving Average 50%
• Mean Square Error 25%
• Superiority 25%
• Wide Range 25%
• Ensemble Model 25%
• Support Vector Machine 25%
• Random Walk 25%

Chemical Engineering

• Deep Learning Method 100%
• Learning System 50%
• Support Vector Machine 25%

Social Sciences

• Organization of the Petroleum Exporting Countries 25%
• Oil Industry 25%