论文标题
启用5G的自适应计算工作流程，用于绿色功率网格
A 5G Enabled Adaptive Computing Workflow for Greener Power Grid
论文作者
论文摘要
5G无线技术可以为用户提供更高的数据速度，超低延迟，更高的可靠性，大量网络容量，增加的可用性以及更统一的用户体验。它带来了额外的力量，以帮助解决可再生一体化和脱碳带来的挑战。在本文中，已经介绍了一个启用5G的自适应计算工作流程，该工作流程由各种计算资源组成，例如5G设备，边缘计算，集群，图形处理单元（GPU）和云计算，其中两个示例显示了用于电力系统实时监控，安全性监控，安全性和预测的Edge-Gloud交互的技术可行性。该工作流得益于5G的高速数据传输和庞大的连接能力，其可能会无缝整合分布式和/或集中位置的各种应用程序，以构建更复杂和更强大的功能，并具有更好的灵活性。
5G wireless technology can deliver higher data speeds, ultra low latency, more reliability, massive network capacity, increased availability, and a more uniform user experience to users. It brings additional power to help address the challenges brought by renewable integration and decarbonization. In this paper, a 5G enabled adaptive computing workflow has been presented that consists of various computing resources, such as 5G equipment, edge computing, cluster, Graphics processing unit (GPU) and cloud computing, with two examples showing technical feasibility for edge-grid-cloud interaction for power system real-time monitoring, security assessment, and forecasting. Benefiting from the high speed data transport and massive connection capability of 5G, the workflow shows its potential to seamlessly integrate various applications at distributed and/or centralized locations to build more complex and powerful functions, with better flexibility.
