The hybrid genetic wind-driven (HGWD) algorithm developed by Javaid et al. (2017b) outperformed the Wind-Driven Optimization (WDO) algorithm and the Genetic Algorithm (GA) by lowering power usage costs by 33% and 10% respectively.

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 (3)

• Genetic Algorithm concept
• wind-driven optimization concept
• hybrid genetic wind-driven concept