[Faculty] Fwd: [CSRC.COLLOQUIUM] "Applied Data Science in Solar Energy"

[Jose Castillo]

[image: SDSU_CSRC Logo.jpg]


DATE:
*Friday, September 22, 2023*


TITLE:
*Applied Data Science in Solar Energy *



TIME:
*3:30-4:30PM*



LOCATION:
*In Person - GMCS 314*

SPEAKER/BIO:
*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*

Note: Videos of previous colloquium talks can be seen on the CSRC website
in the colloquium archive section or on the CSRC YouTube page here
<https://www.youtube.com/channel/UCN0ZEztlmyDqG2pm-Rle_Eg/feed>.



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