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Modern Electric Power Systems
ECE 145

Course Information

Description

This course begins with a solid foundation in classical power system engineering, covering the basic operation and control of electric grids. It then explores the grid’s transformation into a data-rich, power electronically interfaced system. It introduces modern AI-driven approaches for forecasting, renewable integration, and smart grid operations. Through hands-on learning with simulation software, realistic data sets, and case studies, students will bridge engineering fundamentals with data science applications. The course equips students with tools to understand, model, and design sustainable and intelligent power systems in the age of AI.

Course Notes

This course was formerly numbered Engineering Sciences 145 (ES 145).

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Lecture
Grading Basis FAS Letter Graded
Course Requirements Pre-req: Math 21B or equivalent AND Physical Sciences 12b OR Physics 15B OR Applied Physics 50B
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Science & Engineering & Applied Science
Course Level For Undergraduate and Graduate Students