DCNNN Project by CURENT Researchers Honored as R&D 100 Finalist
DCNNN Project by CURENT researchers was honored as a R&D 100 Finalist
September 21st, 2020
The project DCNNN (Deep Convolutional Neural Network for N-1) led by CURENT’s Dr. Fran Li was honored as one of the R&D 100 Finalists. Each year less than 200 projects are selected from numerous applications as the finalists to compete for the R&D 100 Awards, a renowned worldwide recognition honoring the most exceptional technology innovations.
DCNNN, a collaborative project among UT, ISO-New England and Old Dominion University, employed deep convolutional neural network to solve power system security assessment with more than 100 times faster than traditional model-based approach for large power grids with more than 1000 nodes.
Congratulations to the research team: Dr. Fran Li (Lead), Dr. Yan Du (Chief Developer & 2020 PhD graduate of Dr. Li), Dr. Jiang Li (Team Member from ODU), Dr. Tongxin Zheng (Team Member from ISO-New England), Mr. Haoyuan Sun (Team Member, GRA of Dr. Li), Dr. Hantao Cui (Team Member, CURENT research assistant professor)!
More information about R&D 100 Finalists can be found at https://www.rdworldonline.com/finalists-for-2020-rd-100-awards-are-unveiled/
Pictured below: Dr. Fran Li (left) and the R&D Logo (right)
