Scalable scheduling of energy control systems

Keyphrases

• Averaged System 100%
• Binary Control 66%
• Binary Input 33%
• Building Automation 33%
• Computer Science 33%
• Control Input 33%
• Control Theory 33%
• Control Variables 66%
• Demand Surge 66%
• Dynamical Systems 33%
• Electrical Grid 33%
• Electricity Demand 33%
• Energy Control System 100%
• Energy Sink 33%
• Energy Systems 33%
• Fine-grained Scheduling 33%
• Grid Automation 33%
• Handling System 33%
• Industrial Automation 33%
• Input Constraints 33%
• Level Scheduling 33%
• Linear Programming 66%
• Load Shedding 33%
• Load Shifting 33%
• Matrix Laboratory (MATLAB) 33%
• Model Abstraction 66%
• Multiple Controllers 33%
• Numerical Simulation 33%
• Optimal Bound 33%
• Original System 66%
• Peak Power Consumption 33%
• Power Balance 33%
• Power Consumption 33%
• Safety Requirements 33%
• Scalable Approaches 33%
• Scheduling Algorithm 33%
• Scheduling Problem 66%
• Simulation Algorithm 33%
• Simulation Relation 66%
• Single Input 33%
• Single State 33%
• System Safety 33%
• System Scheduling 33%
• Total Demand 100%
• Transition System 33%
• Utilization Value 66%

Computer Science

• Computer Science 50%
• Control Theory 50%
• Dynamical System 50%
• Electrical Grid 50%
• Industrial Automation 50%
• Linear Program 100%
• Multiple Controller 50%
• Numerical Simulation 50%
• Power Consumption 100%
• Scheduling Algorithm 50%
• Scheduling Problem 100%
• Simulation Relation 100%
• Transition System 50%

Engineering

• Binary Input 25%
• Computer Simulation 25%
• Control Input 25%
• Control System 100%
• Electric Power Utilization 50%
• Electrical Grid 25%
• Electricity Demand 25%
• Energy Engineering 100%
• Energy Systems 25%
• Input Constraint 25%
• Linear Program 50%
• Load Shifting 25%
• Model Abstraction 50%
• Peak Power 25%
• System Safety 25%