PI: Arman Ahmed
Co-PI(s): A. Srivastava
Sponsor: Battelle – Pacific Northwest National Laboratory – DGRP
Award Amount: $103,562
Project Period: 1/2021 – 9/2021
Summary: This research will develop a decentralized scalable multi agent federated prediction/inference event analysis approach, answering following questions:
- Given different power grid data sets and predictive models, how to enable profiling of raw data sets and predictive models?
- How to enable and improve/optimize event analysis by making use of individual prediction models for event detection, localization and classification?
- How to map observed data to decide what’s the best prediction model for event analysis?
- How to develop a federated inference/prediction approach for decentralized power grid analysis in scenarios involving cascading failures etc.?