Exploiting Nature-Inspired-Based Artificial Intelligence Techniques for Coordinated Day-Ahead Scheduling to Efficiently Manage Energy in Smart Grid.
Zahoor Ali KhanAdia KhalidNadeem JavaidAbdul HaseebTanzila SabaMuhammad ShafiqPublished in: IEEE Access (2019)
Keyphrases
- nature inspired
- smart grid
- power system
- swarm intelligence
- communication networks
- ant colony optimization
- ant colony optimization algorithm
- traveling salesman problem
- information security
- metaheuristic
- advanced metering infrastructure
- scheduling problem
- artificial neural networks
- communication systems
- path relinking
- energy consumption
- portfolio management
- pso algorithm
- web intelligence
- network security
- security issues
- data center
- smart home
- particle swarm optimization
- long term
- collective intelligence
- neural network
- tabu search
- computational intelligence
- wireless sensor networks
- artificial intelligence