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= [index.html Keith Moffat]

# = Other


== Participation in Government Rulemaking

I participated in the California Public Utility Commission (CPUC) Energy Division's [https://www.cpuc.ca.gov/events-and-meetings/energy-division-workshop-07-21-2022 Workshop on Advanced Demand Flexibility Management and DER Compensation] on 7./21./22.

I offered the following [CPUC_R2207005_public_comment.pdf comment on the CPUC's R2207005 ratesetting proceeding], ``Order Instituting Rulemaking to Advance Demand Flexibility Through Electric Rates,'' and the corresponding [KeithMoffat_Comment_CPUCproceedingR2207005_DemandFlexibilityThroughElectricRates_8.15.22.pdf extended comment on R2207005] on 8./15./22.



== [https://powerandenergy.berkeley.edu UC Berkeley's IEEE Power and Energy Chapter] 
As the 2021 Program Director I have organized and hosted the Spring and Fall [https://powerandenergy.berkeley.edu/events.html Seminar Series], welcoming leaders in the fields of power systems and power electronics.

#[https://drive.google.com/file/d/1vnWCfUWKL7V5dyw_SgxYrTrd240tOxAz/view Spring] and [https://drive.google.com/file/d/1R689kULqFdrLigwy-_gwS1z-4XwSHFNJ/view Fall] [https://powerandenergy.berkeley.edu/events.html Speaker Series].



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{}{img_left}{announcements/PowerAndEnergySpeakerSeriesFall2021.pdf}{alt text}{510}{660}{https://powerandenergy.berkeley.edu/events.html}
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# == [coursesTaken.html List of Courses taken at UC Berkeley]

== List of Courses taken at UC Berkeley

==== Fall 2016\n
[syllabi/EE137A_syllabus_2017F.pdf EE 137A Introduction to Electric Power Systems]\n
[syllabi/MEC231A_syllabus_2016F.pdf ME C231A Experiential Advanced Control Design]\n
[https://inst.eecs.berkeley.edu/~ee221a/fa20/ EE 221A Linear System Theory]\n

==== Spring 2017\n
[syllabi/EE137B_syllabus_2017S.pdf EE 137B Introduction to Electric Power Systems]\n
[https://inst.eecs.berkeley.edu/~ee222/sp20/ EE 222 Nonlinear Systems--Analysis, Stability and Control]\n
[https://lavaei.ieor.berkeley.edu/Course_IEOR258_Spring_2017.html IEOR 258 Control and Optimization for Power Systems]\n 

==== Fall 2017\n
[syllabi/CS189_18pagesummary_2017F.pdf CS 289A Introduction to Machine Learning]\n
[https://people.eecs.berkeley.edu/~arcak/resources/book_corrected.pdf EE 290N Advanced Topics in Electrical Engineering: Networks of Dissipative Systems]\n 
[syllabi/IEOR290_syllabus_2017F.pdf IEOR 290 Societal-Scale Cyber-Physical Systems: Machine Learning and the Internet of Things]\n

==== Spring 2018\n
[https://inst.eecs.berkeley.edu/~ee291e/sp21/ EE C291E Hybrid Systems and Intelligent Control]\n 
[https://classes.berkeley.edu/content/2018-spring-meceng-233-001-lec-001 ME 233 Advanced Control Systems II (Adaptive Control)]\n

==== Fall 2018\n
[http://rail.eecs.berkeley.edu/deeprlcourse-fa18/ CS 294-112 Deep Reinforcement Learning]\n
[https://people.eecs.berkeley.edu/~elghaoui/Teaching/EE227BT/ EE 227BT Convex Optimization (relaxations and distributionally-robust optimization)]\n	

==== Spring 2019\n
[https://people.eecs.berkeley.edu/~brecht/opt4ml_book/ EE C227C Convex Optimization and Approximation (algorithms)]\n
[syllabi/EE290O_FinalReport_2019F.pdf EE 290O Advanced Topics in Electrical Engineering: Control of Low Inertia Grids]\n
[syllabi/MBA212_syllabus_2019S.pdf MBA 212 Energy and Environmental Markets]\n 	

==== Fall 2019\n
[https://www2.eecs.berkeley.edu/Courses/EE375/ ELENG 375 Teaching Techniques for Electrical Engineering]\n 	

==== Spring 2020\n
[https://sites.google.com/view/berkeley-cs294-158-sp20/home CS294-158 Deep Unsupervised Learning]\n