A comparative study of dynamic building simulation and machine-learning within a two-stage multi-objective stochastic optimization framework

Keyphrases

• Machine Learning 100%
• Decision-making Process 100%
• Simulation-based Learning 100%
• Stochastic Optimization Framework 100%
• Building Planning 100%
• Multi-objective Stochastic Optimization 100%
• Dynamic Building Simulation 100%
• Comparative Analysis 50%
• Machine Learning Based 50%
• Planning Phase 50%
• Machine Learning Models 50%
• Large Uncertainty 50%
• Environmental Issues 50%
• Pareto Optimal Solution 50%
• Uncertainty Range 50%
• Process Decision 50%
• Occupant Behavior 50%
• Degree of Uncertainty 50%
• Operational Energy 50%
• Decision-dependent Uncertainty 50%
• Decision Stages 50%
• Learning Dynamics 50%
• Simulation-based 50%

Engineering

• Building Simulation 100%
• Energy Engineering 50%
• Early Stage 50%
• Planning Phase 50%
• Comparative Analysis 50%
• Occupant Behavior 50%
• Operational Energy 50%
• Decision Process 50%
• Pareto Optimal Solution 50%

Chemical Engineering

• Learning System 100%