Hybrid algorithm for cloud-fog system based load balancing in smart grids

Energy management is among the key components of smart metering. Its role to balance energy consumption and distribution. Smart devices integration results in a huge data exchange between different parts grid causing delay response processing time. To overcome this latency issue, cloud computing has been proposed. However, does not perform well when there are large distances from consumers. Fog solves issue. In paper, cloud-fog system presented achieve an accurate load balancing. The hybridization whale optimization algorithm with bat (WOA-BAT) proposed for model performance compared state art balancing techniques as throttled, round robin, particle swarm algorithms terms reveal that WOA-BAT better time than three 4.3% improvement RR TH. It also outperforms all by at least 22.3%.