Increasing Electric Utility Resilience through Scenario Based Modeling
Increasing Electric Utility Resilience through Scenario Based Modeling supports ASI’s proposed utility modeling and storage siting work to improve storm response, restoration, and ratepayer affordability.
Funder: Massachusetts Clean Energy Center
Due Dates: November 19, 2026 (Questions) | December 2, 2026 (Counter proposals, 11:59 p.m. Eastern Time)
Funding Amounts: $350,000 proposed grant for four months, with $275,000 cost share and a $625,000 total project budget
Summary: Supports utility resilience modeling, energy storage siting, and AI-based emergency planning and storm response with a Massachusetts utility partner.
Key Information: This is a notice of intent to fund Air Space Intelligence; other organizations may submit comparable, better-value counter proposals.
Description
The Massachusetts Clean Energy Center (MassCEC) intends to fund an unsolicited proposal from Air Space Intelligence (ASI), a Boston-headquartered artificial intelligence company. The project would expand ASI’s resilience mitigation modeling and energy storage siting capabilities and demonstrate emergency planning, storm response, and power restoration modeling with a Massachusetts electric utility. Other organizations may submit counter proposals offering better value for a comparable project.
The work builds on an ASI demonstration supported by a 2025 InnovateMass award. Its goals include helping utilities target capital investments, reduce unnecessary infrastructure spending, improve ratepayer affordability, and accelerate restoration after storms. The proposed software demonstration would operate within the utility’s secure data environment, with storm response capabilities intended for use by its Emergency Planning team during the 2026–2027 winter storm season.
