Exploiting Nature-Inspired-Based Artificial Intelligence Techniques for Coordinated Day-Ahead Scheduling to Efficiently Manage Energy in Smart Grid

Keyphrases

• Pareto Front 74%
• Nature-inspired Optimization 74%
• Electricity Cost Reduction 37%
• Swarm Search 37%
• Multi-objective Binary Particle Swarm Optimization 37%
• User Demand 37%
• Electricity Load Profiles 37%
• Bird Swarm Optimization 37%
• Timetable Rescheduling 37%
• Multi-objective Cuckoo Search 37%
• Waiting Time Minimization 37%
• Real-time Scheduling 37%

Computer Science

• Cuckoo Search Algorithm 100%
• Real Time Scheduling 49%
• Bird Swarm Optimization 49%
• Optimisation Objective 49%

Engineering

• Pareto Front 100%
• Load Profile 49%