National Grid Taps Air Space Intelligence’s AI for Predictive Grid Optimization
National Grid will integrate Air Space Intelligence’s AI platform to apply predictive modeling and scenario optimization across grid planning, targeting resilience planning, outage detection, and energy storage siting. The partnership, supported by a Massachusetts Clean Energy Center grant, aims to reduce field costs and accelerate decision-making on grid operations.
1. Partnership Overview
National Grid has entered a collaboration with Air Space Intelligence to integrate ASI’s operational AI platform into electric grid planning and operations. The partnership aims to leverage ASI’s expertise in predictive modeling and scenario optimization to enhance decision support for complex grid challenges.
2. AI Capabilities and Applications
ASI will fuse grid topology, asset, reliability, outage, forecasting, geospatial, and environmental data into a continuously updated predictive world model. The AI autonomously generates, evaluates, and optimizes millions of scenarios to deliver actionable recommendations for resilience planning, outage detection, and energy storage deployment.
3. Focus Areas and Impact
The initial deployment will optimize siting and interconnection of distributed energy resources, enable scenario-based planning for extreme weather and demand surges, and improve outage mapping capabilities. These AI-driven tools are expected to reduce field costs and accelerate operational decision-making.
4. Funding and Timeline
The collaboration is supported by a grant from the Massachusetts Clean Energy Center’s Innovate Mass program, targeting commercialization of Gridtech projects. Implementation phases are set to begin in mid-2026 with pilot tests on critical network segments planned for later this year.