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ESE 462

AI Driven Smart Grids

Stony Brook University 3 credits ESE

Course Description

The course focuses on Artificial Intelligence (AI) applications to power system modeling, analysis, and operation. Topics include basics of AI and smart grid, AI-driven modeling such as load/renewable energy prediction and dynamic model discovery, AI-driven power system analysis such as dynamic simulation, and stability and security assessment, and AI-based operation such as optimal dispatch and emergency control. Emerging topics, including generative AI, quantum machine learning, and trustworthy AI, will also be discussed. Students enrolled in the course are expected to possess a foundational capability in using Matlab or Python for developing basic programs. 3 credits Prerequisite: ESE 350 or ESE 435 ; AMS 210 or MAT 211

Code
ESE 462
Credits
3
Subject
ESE

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