)
){kind=logo}
){kind=logo}
Optimizing Interconnection Queues with AI-Augmented Workflow Automation
The need for more efficient interconnection processes is more critical than ever. This session will delve into the latest advancements in AI-augmented workflow automation tailored to the interconnection of DERs, large generators, large industrial loads (e.g., data centers and chip plants).
Join Clean Power Research and Duke Energy to explore how they are streamlining processes for both Transmission and Distribution Interconnections using flexible workflow automation software, emphasizing practical lessons learned and best practices, including optimizing the management of Cluster Studies. Learn about how Duke is using PowerClerk’s latest AI-augmented workflow automation capabilities to further reduce their application processing times, included automated technical document reviews.
Key Takeaways:
- Gain insights on how to tackle process inefficiencies amid growing interconnection queues.
- Discover how workflow automation reduces time and effort for interconnection requests, cluster study management, engineering reviews and enabling faster and more accurate processes.
- Learn and see how AI technologies can streamline information extraction and validation from interconnection request attachments and gain insights into future AI driven innovations from Clean Power Research.
