Teaching

Spring 2024:

• 540:559 – Energy Markets and Data Analytics
  This course will teach fundamental methods of data analytics for applications in modern power and energy systems. It covers aspects of the high-interest topics renewable energy and machine learning. The first part of the course provides an overview of energy system operations and relevant statistical methods for data-driven decision making. The second part of the course focuses on prediction and forecasting methods specific to energy markets and investments.

  Organization: Lecture, Mini-assignments and participation (10%), Project (40%), Mid-term (20% – part of mid-term will be related to the project), Final (30%).