Lecture slides for the current lecture will be posted at least one hour prior to that class, along with an indication of when the slies were last updated.
Lecture Notes:
- Intro (updated 9/11/12)
- ML 1: Linear regression (updated 9/18/12)
- ML 2: Nonlinear regression (updated 9/18/12)
- ML 3: Classification (updated 9/25/12)
- ML 4: Evaluation (updated 9/27/12)
- EPS 1: DC and AC Circuits (updated 10/2/12)
- EPS 2: Generators, Three-phase Power, and Power Electronics (updated 10/9/12)
- EPS 3: Power Flow and Markets (important update to fix typo 10/23/12)
- Control 1: Introduction (updated 10/30/12)
- Control 2: Dynamical Systems (updated 11/8/12)
- Control 3: Controlling Dynamical Systems (updated 11/27/12)
- Control 4: Stochastic Control (updated 12/4/12)
- Future Directions in Sustainable Energy (updated 12/6/12)
Lecture Videos:
- Lecture 1: Intro (slides)
- Lecture 2: ML 1, Linear regression (slides)
- Lecture 3: ML 2, Linear regression (cont), nonlinear regression (slides)
- Lecture 4: ML 3, Nonlinear regression (cont) (slides)
- Lecture 5: ML 4, Classification (slides)
- Lecture 6: ML 5, Classification (cont), Evaluation (slides)
- Lecture 7: ML 6, Evaluation (cont) (slides)
- Lecture 8: EPS 1, DC and AC Circuits (slides)
- Lecture 9: EPS 2, AC Power (slides)
- Lecture 10: EPS 3, Generators, Three-phase Power (slides)
- Lecture 11: EPS 4, Power electronics (slides)
- Lecture 12: EPS 5, Power flow (slides)
- Lecture 13: EPS 6, Power flow (cont) (slides)
- Lecture 14: EPS 7, Optimal Power Flow (slides)
- Lecture 15: EPS 8, Power Markets, Control Intro (slides)
- Lecture 16: Control 1, Control as optimization (slides)
- Lecture 17: Control 2, Linear Dynamical Systems (slides)
- Lecture 18: Control 3, Partially observable systems, differential algebraic equations (slides)
- Lecture 19: Stochastic Systems, PID Control (slides)
- Lecture 20: PID Control (cont), LQ Control (slides)
- Lecture 21: LQ Control (cont), Control as optimization (slides)
- Lecture 22: Stochastic Control (slides)
- Lecture 23: Model predictive control (cont), future directions (slides)
- Lecture 24: Future directions (slides)
Other Resources:
- Course Information and Syllabus (updated 8/28/12)
- Review Notes: Linear Algebra
- MATLAB Tutorial
Optional Textbooks:
Taken together, these textbooks cover most of the material we cover in this class. This list is strictly optional reading for those who might want to pursue one of the topics more deeply; the slides themselves cover everything that will be needed for the homeworks, and these books together cover substantially more material than what we cover in class.
- Machine Learning: C. Bishop. Pattern Recognition and Machine Learning.
- Optimization: S. Boyd, L. Vandenberghe. Convex Optimization. (available online)
- Electrical power systems: A. von Meier. Electric Power Systems: A Conceptual Introduction.
- Model predictive control: E. F. Camacho and C. Bordons. Model Predictive Control.