Stanford Root

Schedule

Stanford Root

Schedule

ECON 138

Optimization Models with Applications in Power Systems and Electricity Markets (ECON 238)

UNITS:5
GRADING:Letter or Credit/No Credit
LEVEL:Undergrad
GER:—

Optimization techniques are increasingly used in economics and power systems worldwide. These methods are particularly relevant to operating modern electricity systems with growing shares of intermittent low-carbon renewable resources and storage. The technical characteristics of generation units and transmission networks require the solution of sophisticated constrained optimization problems to ensure secure, reliable, and efficient operation. The addition of renewable resources, high levels of storage, and load flexibility technologies adds a second layer of complexity regarding the consideration of uncertainty. This course provides students with an understanding of the general concepts and optimization models and techniques used in the analysis of electricity markets and modern power system operations and planning. This course introduces both the theoretical concepts and practical applications of optimization methods and decision making under uncertainty methodologies in electricity market operations, system planning, and regulation. This is a graduate level course. Interested undergraduates should enroll in ECON 138. Approved field credit for the ECON BA, BS, and Minor Programs.

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 13080
0 / 23 enrolled
DAYS:Tuesday, Thursday
TIME:10:30 AM – 11:50 AM
LOCATION:TBD
INSTRUCTOR:
Wolak, Frank, Street De Aguiar, Alexandre
5units
Discussion 1Open
ID: 13700
0 / 20 enrolled
DAYS:Wednesday
TIME:4:30 PM – 5:20 PM
LOCATION:TBD
INSTRUCTOR:
Sena, Marcelo, Wolak, Frank, Street De Aguiar, Alexandre
5units

ECON 138: Optimization Models with Applications in Power Systems and Electricity Markets (ECON 238)

5 units · Letter or Credit/No Credit

Optimization techniques are increasingly used in economics and power systems worldwide. These methods are particularly relevant to operating modern electricity systems with growing shares of intermittent low-carbon renewable resources and storage. The technical characteristics of generation units and transmission networks require the solution of sophisticated constrained optimization problems to ensure secure, reliable, and efficient operation. The addition of renewable resources, high levels of storage, and load flexibility technologies adds a second layer of complexity regarding the consideration of uncertainty. This course provides students with an understanding of the general concepts and optimization models and techniques used in the analysis of electricity markets and modern power system operations and planning. This course introduces both the theoretical concepts and practical applications of optimization methods and decision making under uncertainty methodologies in electricity market operations, system planning, and regulation. This is a graduate level course. Interested undergraduates should enroll in ECON 138. Approved field credit for the ECON BA, BS, and Minor Programs.

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Discussion — Wednesday 4:30 PM – 5:20 PM — Sena, Marcelo, Wolak, Frank, Street De Aguiar, Alexandre (Undergrad)
  • Lecture — Tuesday Thursday 10:30 AM – 11:50 AM — Wolak, Frank, Street De Aguiar, Alexandre (Undergrad)

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