Machine learning-facilitated algorithm for operations optimization in thermal power plants

Keyphrases

• Machine Learning 100%
• Coal-fired Power Plant 100%
• Thermal Power Plant 100%
• Operation Optimization 100%
• Deep Neural Network 66%
• Combustion Rate 66%
• Column-and-constraint Generation Algorithm 66%
• Prediction Accuracy 33%
• China 33%
• Selection Strategy 33%
• Mixed Integer Linear Programming Model 33%
• Numerical Experiments 33%
• Operational Data 33%
• Sensitivity Analysis 33%
• Experiment Analysis 33%
• Sulphur Emissions 33%
• Resource Management 33%
• Rate Control 33%
• Pollutant Emissions 33%
• Electricity Supply 33%
• Managerial Insights 33%
• Complex Optimization Problems 33%
• Energy Sources 33%
• Generating Unit 33%
• Imbalanced Data 33%
• Numerical Sensitivity 33%
• Computational Time Reduction 33%
• Weighted Loss Function 33%
• Synthetic Minority Oversampling Technique (SMOTE) 33%
• Column Selection 33%
• Coal Resources 33%

Engineering

• Fired Power Plant 100%
• Learning System 100%
• Electric Power Plant 100%
• Deep Neural Network 66%
• Numerical Experiment 33%
• Optimisation Problem 33%
• Computational Time 33%
• Rate Control 33%
• Selection Process 33%
• Generating Unit 33%
• Mixed-Integer Linear Programming Model 33%
• Energy Source 33%
• Loss Function 33%
• Operational Data 33%
• Sulfur Emission 33%
• Oversampling 33%
• Coal Resource 33%

Chemical Engineering

• Learning System 100%
• Deep Neural Network 66%