University of Houston 3 credits ECE
Prerequisite: electrical circuits, AC and DC system, basic math, linear algebra This course will cover power system fundamentals including electrical networks, power flow analysis, and power grid operations. It will also cover multiple supervised machine learning (ML) models including classical ML such as support vector machine and logistic regression, and deep learning models such as multi-layer perceptron and long short-term memory. Unsupervised learning methods like K-means clustering will also be covered. Multiple cases that apply ML in power systems will be provided.
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