ARLINGTON, VA, August 17, 2020 – Quantitative Scientific Solutions today announced that it has been selected by NASA’s Small Business Innovation Research (SBIR) program to develop a prototype forecasting system for geomagnetic disturbances (GMDs), a space weather hazard that can destabilize operations of the power grid and cause damage in critical network components such as transformers. This selection follows on the heels of a successful initial Phase I effort that demonstrated the viability of using data-driven machine learning (ML) models to provide quantitatively accurate, uncertainty-aware forecasts of GMDs with operator-relevant lead times. As part of the Phase II effort, QS-2 will combine custom-built, physics-informed ML algorithms with large historical datasets to provide quality-assured performance during any sort of space weather event or solar conditions.

Quantitative Scientific Solutions has teamed with PingThings, leaders in grid analytics and geomagnetically induced currents and developer of the world’s fastest and most scalable time series data management, analytics, and AI platform, to deploy this forecasting tool in a system for real-time grid monitoring and hazard indications.

QS-2’s Director of Analytics and Founding Partner, Dr. David Guarrera said,

“We are very excited about the potential of the technology we are developing in this project. We were able to demonstrate the power of our approach during our successful Phase I effort, and by partnering with industry leader PingThings we have a clear path toward commercialization of the first truly reliable, operational, and data-driven forecasting tool for geomagnetic hazards.”