LI, Xiangyu - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Spring 2025-26 Winter 2025-26 Fall 2024-25 Summer
2025-26 Spring
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
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COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	The course aims to introduce main machine learning techniques and their applications in energy systems. The topics will include: 1) the basic concept of machine learning, big data, and energy system; 2) both basic and the state-of-the-art techniques in machine learning; 3) the application of machine learning in energy systems, especially for power systems and smart grids. The goal of the course is to prepare the students for careers in energy and artificial intelligence related areas by teaching data-driven perspective.

VECTOR

[3-0-0:3]

DESCRIPTION

The course aims to introduce main machine learning techniques and their applications in energy systems. The topics will include: 1) the basic concept of machine learning, big data, and energy system; 2) both basic and the state-of-the-art techniques in machine learning; 3) the application of machine learning in energy systems, especially for power systems and smart grids. The goal of the course is to prepare the students for careers in energy and artificial intelligence related areas by teaching data-driven perspective.

SEEN 5320 - Machine Learning in Advanced Energy Systems (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6119)	We 01:30PM - 04:20PM	Rm 105, W3	LI, Xiangyu	15	0	15	0