A grant from the National Renewable Energy Laboratory (NREL)
WiMNet Lab takes part in a National Renewable Energy Laboratory (NREL) project titled “Scalable Forecasting for Improving Grid Efficiency and Resiliency”. The project’s PI is Dr. Andrey Bernstein and Prof. Gil Zussman is one of the co-PIs.
The main goal of this project is to advance the foundational science for online prediction and forecasting in networked systems by accomplishing the following objectives: (i) develop a scalable, computationally affordable forecasting framework that can be applied to power networks; (ii) formulate forecasting problems on multiple time scales; (iii) formulate forecasting problems that are relevant to different aspects of grid operation; and (iv) design forecasting algorithms that are resilient to missing data and outliers. Application examples include real-time control under steady state, transient, and attack conditions; real-time dispatch and regulation; and intra-day and day-ahead unit commitment problems.
The contributions of WiMNet lab to the project will build on the recent work in the area of resilience of power grids.