DATE:

Friday, September 22, 2023

TIME:

3:30 PM

LOCATION:

GMCS 314

SPEAKER:

Dr. Xuanji Yu, Assistant Research Professor, Computational Science Research Center, San Diego State University

ABSTRACT:

This talk centers on the application of data science within the sector of solar energy. It demonstrates the study of timeseries data, image data, text data, and climate data to address practical challenges within the industry. These challenges encompass energy forecasting, intelligent energy management, solar power plant operations and maintenance, manufacturing optimization, and the assessment of climate-related risks. The findings underscore the significance of employing efficient model architectures and tools, effectively utilizing information with domain-specific knowledge to achieve optimal results.

Bio: Dr. Xuanji Yu obtained his Ph.D. in Materials Science and Engineering from Boston University. Subsequently, he served as the Chief Engineer at Canadian Solar Inc. specializing in the assessment of solar performance and reliability, predictive modeling, and atmospheric risk evaluation. Following this, he undertook a postdoctoral research position at Case Western Reserve University, where he focused on applied data science techniques for solar energy applications. Dr. Yu is coauthor of 8 Python/R packages. His primary research interests revolve around leveraging cutting-edge statistical learning, machine learning and physics-based models to analyze and harness energy data, particularly in the realm of solar energy, with the goal of developing tools, gaining deeper insights, and facilitating informed decision-making.

HOST:

Jose Castillo

VIDEO: