Machine Learning for Energy Systems

3 credits · Undergraduate Programs

Applications of Machine Learning, Artificial Intelligence and Optimization in Energy Systems. Review of Statistics, Probability and Data Science Concepts; Supervised and Unsupervised Learning in Python including Regression and Clustering; Data Engineering for Data Filtering and Feature Selection; Optimization. Focus on Application to Problems in the Energy Industry. Prerequisite(s): Engineering 319 or Digital Engineering 319; and 3 units from Engineering 407, Digital Engineering 407, Chemical Engineering 307 or 407. Antirequisite(s): Credit for Chemical Engineering 561 and Petroleum Engineering 519.11 will not be allowed.