AI Grid Interconnection Planning

AI-driven planning for renewable energy grid interconnection

The Problem

“Faster, cheaper grid interconnection queue decisions”

Organizations face these key challenges:

Interconnection queues grow faster than study capacity, creating multi-year backlogs and high stakeholder friction

Data is fragmented and inconsistent across planning models, queue systems, GIS, and asset registries, causing repeated manual cleanup and errors

Frequent restudies due to withdrawals, topology changes, and evolving assumptions lead to schedule slips and unpredictable upgrade costs

Impact When Solved

Automated early screening to identify high-risk projects and likely constraint drivers within days instead of weeksSmarter cluster formation and scenario prioritization that reduces unnecessary simulations while preserving reliability rigorMore reliable upgrade cost and timeline ranges that improve developer planning, reduce disputes, and increase throughput

The Shift

Real-World Use Cases

AI Grid Congestion Management

This AI helps optimize the layout of power grids to reduce congestion without increasing costs or carbon emissions.

optimizationgrowing

8.0

AI Power Grid Congestion Management

This AI system helps manage electricity grid congestion by optimizing the layout and connections of the grid, reducing costs and emissions.

optimizationemerging

8.0

eGridGPT: AI-Assisted Power System Operation

eGridGPT is an AI tool that helps power system operators make better decisions by analyzing data and suggesting optimal actions.