EET 110: Power and Energy Management II

Course Information
  • Semester: Spring Semester 2025
  • Instructor: Parikshit Pareek (email: pareek AT ee.iitr.ac.in)
  • Lectures: TBA
  • Piazza: TBA
  • TA: Ayushi Jolotia(ayushi_j AT ee.iitr.ac.in)
📌 Announcements
  • 2025‑12‑10: Initial Course website launched.
🎯 Course Objectives

This is not a traditional classroom-based course, nor is it a lab course focused on running experiments. This is a TEC: Talent Enhancement Course, Part II.

Designed for individuals who are already highly capable, this course aims to challenge your thinking and expand your potential. It will be largely hands-off in terms of direct implementation, encouraging independent exploration, creative problem-solving, and pushing beyond your current limits. Briefly, our objectives in this course are:

  1. Develop a solid understanding of optimization algorithms behind operations of power grid.
  2. Implement various optimal power flow methods on CPU and GPU with parallelization capabilities for speed & accuracy.
  3. Explore advanced ML surrogates for Constrained Optimization Problem.
📅 Course Content
Index Topic Material
📝 Assignments
  • Python and Julia are default programming languages for the course. You should use any of these for programming your assignments unless otherwise explicitly allowed.
  • Submit via Moodle or GitHub—- as specified in each assignment.
  • Viva will accompany each assignment — your explanation during the viva carries significant weight in grading.
  • Honor Code: Any cases of copying will be awarded a zero on the assignment. More severe penalties may follow.
  • Late submissions will incur penalties, as annouced with assignment.
📚 References & Resources
🧾 Grading Policy (Tentative)