Artificial Intelligence in Smart Grid Data Analysis
Software that can learn from previous data and predict future data will help maximize efficiency of the smart grid.
Zhihao Ma
FURI: Fall 2019
Yang Weng
Yang Weng is an assistant professor at the School of Electrical, Computer and Energy Engineering of Arizona State University. Weng’s research interests include power systems, machine learning, demand response, data analytics, cyber-physical systems and convex optimization.
Total projects: 2
Projects
