Research on Electrical Energy Scheduling Algorithm based on Cloud Computing

At present, cloud computing assists the users to dispose complex calculation process and is becoming an essential module for executing downstream tasks. With the continuous expansion of cloud computation platforms, the electrical system can utilize the cloud platform to solve complex scheduling optimization process, which can improve the effectiveness and utilization of electrical energy. However, existing electrical system scheduling relies on the specific algorithm and ignore the extraordinary computation resources from cloud serves. In this work, we deploy the most advanced scheduling algorithm in cloud computation to provide detail scheduling strategies for dynamic electrical system and measure the scheduling response time costs and energy optimization ratio for evaluating the proposed method. Finally, we compare our model with existing scheduling methods in identical environment and scales of electrical system. From our simulation results, we can observe that our model outperforms existing non-cloud based methods and provides more optimization strategies with low calculation costs.