Uncertainty-aware optimal dispatch of building thermal storage portfolios via smoothed variance-reduced accelerated gradient methods

Keyphrases

• Control Framework 100%
• Uncertainty-aware 100%
• Accelerated Gradient Method 100%
• Building Thermal Storage 100%
• Variance-reduced 100%
• Building Portfolio 75%
• Computational Efficiency 50%
• Thermal Energy Storage 25%
• Energy Storage 25%
• Advanced Control 25%
• Supervisory Control 25%
• Existing Algorithms 25%
• Power Grid 25%
• Parallelization 25%
• Numerics 25%
• Stochastic Control 25%
• Electrification 25%
• Decomposition Approach 25%
• Grid Services 25%
• Demand Side 25%
• Supervisory Controller 25%
• Building Level 25%
• Large-scale Building 25%
• Energy Cost Saving 25%
• Flexible Energy Sources 25%
• Transactive Control 25%
• Controller Development 25%
• Decision-making Framework 25%
• Renewable Energy Sources 25%
• Renewable Energy Uncertainty 25%
• Grid-interactive Efficient Buildings 25%
• Validation Scenario 25%
• Procurement Problem 25%

Engineering

• Thermal Energy Storage 100%
• Computational Efficiency 100%
• Optimal Dispatch 100%
• Optimisation Problem 50%
• Energy Storage 50%
• Supervisory Control 50%
• Power Grid 50%
• Demand Side 50%
• Supervisory Controller 50%
• Renewable Resource 50%
• Energy Resource 50%
• Heat Storage 50%

Computer Science

• Control Framework 100%
• Gradient Method 100%
• Computational Efficiency 50%
• Optimization Problem 25%
• Stochastic Optimization 25%
• Parallelization 25%
• grid service 25%
• Stochastic Control 25%
• Cost Saving 25%
• Decision Making 25%