Thursday, May 28, 2026 | 3:00 to 4:00 p.m. ET | Open to the public | Register now
The Wind Impact Study for Power Resilience (WISPR) explores what becomes possible when utilities, technology innovators, and academic researchers collaborate around a shared analytical challenge. Funded through the DOE's Grid Resilience and Climate Change Impacts (GRACI) program, WISPR investigates whether integrating historically disparate data sources including high-resolution lidar, historical outage records, meteorological data, and forward-looking climate projections into a unified framework can enable a more precise, scalable approach to prioritizing vegetation-related outage mitigation.
This webinar presents the collaborative model that bridged utility operational knowledge, digital twin technology, and academic expertise in machine learning, biomechanics, and climate science. Early results suggest meaningful potential that span-level risk attribution, climate-adjusted modeling, and budget-aware optimization could give utilities a data-driven foundation for making more informed, efficient resilience investments. The study raises important questions about how this kind of multi-disciplinary, multi-source approach might be validated, refined, and ultimately scaled across utility networks facing an increasingly uncertain climate future.
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