AWS for Industries
Author: Dr. Song Zhang
Dr. Song Zhang serves as a Senior Industry Specialist Solution Architect at AWS Energy & Utilities, where he spearheads grid modernization solutions for power utilities and specializes in HPC, IoT, AI/ML, and data analytics. Drawing from his 15 years of power industry experience, Song actively contributes to the broader power and energy community. He leads cross-functional teams in developing innovative solutions that empower utility digital transformation and energy transition.
Generator interconnection automation using multi-agent collaboration
The clean energy transition faces a significant challenge that threatens to impede progress toward a sustainable future. Generator interconnection (GI) is the process of connecting new power plants to the electrical grid. This process has become a major problem across the United States and other regions of the world. It is creating significant delays for […]
Accelerating generator interconnection study with serverless workflow and elastic HPC
The rapid growth of clean energy, propelled by cost reduction and decarbonization efforts, has placed significant strain on the existing power grid infrastructure. As more solar, wind, and other distributed energy resources seek to interconnect to the grid, the process of generator interconnection has become increasingly complex and challenging. Outdated grid planning processes, lengthy interconnection […]
Serverless self-service portal for running engineering applications with on-premises software licensing
Background: Energy companies are seeking methods to run engineering software in the cloud, especially those that need a significant amount of computing and storage resources in short periods of time to bring about simulation capacity instantaneously and reduce project turnaround (for example, Florida-based utility runs PROMOD, Siemens Simcenter customers run CFD, Ansys LS-DYNA customers run […]