Accomplishments

• The core team received "Outstanding Technical Report" Recognition Award from IEEE PES Technical Committee at PESGM2023

• "Accelerate Grid Modernization with Cloud and AI", IEEE Power & Energy Magazine, Accepted. Paper ID: PEMAG-00026-2025

• "Computational Intelligence-Based Learning Techniques to Handle Uncertainty and Large Data Sets", D. Ramasubramanian, S. Zhang, A. Kelly, Q. Huang, I. A. Fernandez, Aug. 1, 2024, CIGRE Green Book Chapter, Available [Online]: https://link.springer.com/referenceworkentry/10.1007/978-3-031-47821-5_17

• "BES Operations in the Cloud", NERC SITES Whitepaper (WG Core Team as contributors), approved and published in December, 2023, https://www.nerc.com/comm/RSTC_Reliability_Guidelines/SITES_WhitePaper_BES_Ops_in_Cloud.pdf

• “Practical Adoption of Cloud Computing in Power Systems – Drivers, Challenges, Guidance, and Real-world Use Cases (reduced version)”, S. Zhang, A. Pandey, X. Luo, M. Powell, R. Banerji, L. Fan, A. Parchure, E. Luzcando, IEEE Transactions on Smart Grid, vol. 13, no. 3, May 2022, https://ieeexplore.ieee.org/document/9703493

• “Practical Adoption of Cloud Computing in Power Systems – Drivers, Challenges, Guidance, and Real-world Use Cases”, S. Zhang, A. Pandey, X. Luo, M. Powell, R. Banerji, A. Parchure, L. Fan, E. Luzcando, IEEE PES Technical Report (PES-TR92), December 2021. https://resourcecenter.ieee-pes.org/publications/technical-reports/PES_TP_TR92_AMPS_012822.html

• “Leveraging cloud computing to run grid planning software”, Xiaochuan Luo, Song Zhang, NATF-NERC-EPRI 2022 Planning and Modeling Virtual Seminar, November, 2022, https://www.nerc.com/comm/RSTC/Documents/2022_Virtual_Seminar_Flyer-Draft_081722.pdf

• “Cloud Computing for Modern Power Grid”, Song Zhang, Maggy Powell, PES University Webinar, April 2021, https://resourcecenter.ieee-pes.org/education/webinars/PES_ED_WEB_CCPG_050521_SLD.html

35 Webinars 32 Presentations 3 Training sessions

2 Panel sessions 1 Interview session 1 Hands-on workshop

2 Office Hour

The Task Force has a repository on Github for developed tutorials, which aims to demonstrate the cloud advantages and readiness for power system business cases. As of July 2023, 3 tutorials have been developed for the public reference. The link to the repo is given below.

https://github.com/IEEE-PES-TF-Cloud4PowerGrid/tutorials