Energy optimization in smart homes using customer preference and dynamic pricing

Engineering

• Energy Engineering 100%
• Optimization Technique 100%
• Dynamic Pricing 100%
• Smart Home 100%
• Simulation Result 33%
• Control System 33%
• Electricity Price 33%
• Objective Function 33%
• End-Users 33%
• Energy Conservation 33%
• Problem Formulation 33%
• Dynamic Behavior 33%
• Knapsack Problem 33%

Keyphrases

• Customer Dynamics 100%
• Constraint Optimization 50%
• User-dependent 50%
• Aggregated Energy 50%
• Formulation Techniques 50%
• Human Presence 50%
• Household Type 50%

Computer Science

• Energy Optimization 100%
• Customer Preference 100%
• Dynamic Pricing 100%
• Constraint Optimization 33%
• Dynamic Behavior 33%
• Energy Saving 33%