IEEE Working Group on Cloud for Grid Modernization and Digital Transformation
Our Mission - demystify and democratize the cloud, facilitate the industry with use of cloud technology and services to accelerate grid modernization and empower digital transformation for utilities
Our Scope (New!) -
Continue organizing online/offline activities to bridge the gaps between the power industry and the cloud technology advancement
Steer the development of cloud related industry standards, guidelines, and reports with various organizations such as NERC, CIGRE, EPRI and other IEEE TFs/WGs
Create additional white papers to incorporate new use cases and reflect technology landscape
Develop tutorials, workshops and hands-on labs that oriented to high-impact business use cases
Provide a platform for power industry practitioners to share their experience and lessons learnt from cloud adoption
A TF white paper has been published as a PES technical report (PES-TR92) which addresses the following needs
Collect and summarize the use cases of cloud in the industry for the recent years to raise the public interest and awareness of the potential benefits that cloud could bring
Provide FAQ regarding cloud security and use of cloud technology for power system businesses
Put together guidelines/suggestions for cloud users in power industry. For example, how to choose cloud service model (e.g., IaaS, PaaS, SaaS, FaaS and CaaS), how to address the compliance-related challenges including but not limited to NERC CIP standards. This work has been extensively referred by NERC SITES working group in a white paper named "BES Operations in the cloud")
Current Action
Brainstorming what values Generative AI can bring to the industry
Develop tutorial cases that help to engage power system organizations with cloud adoption https://github.com/IEEE-PES-TF-Cloud4PowerGrid/cloud_adoption_tutorials
Work with CSPs to build a free and open playground for power system practitioners
Continue to gather more real-world cloud adoption experience in the industry, with the focus shifted to the energy consumption side (e.g., V2G, DERMS, ADMS, etc.)