Development of Short-Term Forecasting Models Using Plant Asset Data and Feature Selection

Engineering

• Feature Extraction 100%
• Term Forecasting Model 100%
• Random Forest 75%
• Support Vector Machine 75%
• Root Mean Square Error 50%
• Selection Process 50%
• Long Short-Term Memory 50%
• Process Parameter 25%
• Nuclear Energy 25%
• Nuclear Power Plant 25%
• Outages 25%
• Input Feature 25%
• Machine Learning Method 25%
• Plant System 25%
• Network Support 25%
• Process Forecasting 25%
• Maintenance Operation 25%
• Optimal Feature 25%
• Machine Learning Technique 25%
• Selection Method 25%
• Big Data 25%
• Lstm 25%

Chemical Engineering

• Long Short-Term Memory 100%
• Support Vector Machine 100%
• Learning System 66%