Rahim et al. (2016b) proposed an energy management effort using binary particle swarm optimization (BPSO), ant colony optimization (ACO), and genetic algorithm (GA) to lower power prices and the peak-to-average ratio (PAR) while accounting for renewable energy sources (RESs) and storage systems.

Authors

• Person: Not available Organization: Springer
  A comprehensive overview on demand side energy management ...

Sources

• A comprehensive overview on demand side energy management ... link.springer.com Springer via serper

Referenced by nodes (4)

• renewable energy resources concept
• Genetic Algorithm concept
• binary particle swarm optimization concept
• Ant Colony Optimization concept