2025-26 Spring
SEEN5320 · L01
LI, Xiangyu
3 Credits · Class #6119 · Reference Capacity 15
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COURSE
Machine Learning in Advanced Energy Systems
Function Hub / Sustainable Energy and Environment · 3 Credits
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.
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3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Undergraduate study in natural science or engineering with knowledge of linear algebra and calculus.
3 Credits
官方数据更新时间: 2026-08-28 05:35:00
背景: Undergraduate study in natural science or engineering with knowledge of linear algebra and calculus.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Undergraduate study in natural science or engineering with knowledge of linear algebra and calculus.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Undergraduate study in natural science or engineering with knowledge of linear algebra and calculus.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Undergraduate study in natural science or engineering with knowledge of linear algebra and calculus.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Undergraduate study in natural science or engineering with knowledge of linear algebra and calculus.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Undergraduate study in natural science or engineering with knowledge of linear algebra and calculus.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Undergraduate study in natural science or engineering with knowledge of linear algebra and calculus.