top of page
Linearization of Objective functions

 

Course Overview
A technical course on optimization techniques for energy models, focusing on piecewise linear approximation methods. The course teaches how to linearize a nonlinear objective function using the piecewise linear approximation technique. The demonstration of this technique is shown for an optimization model in the energy sector. The implementation is done in Python. You will also learn about key optimization concepts such as linearity, convexity, and optimality.
 

Key Details

  • Prerequisites: None
  • Video Duration:  4 hours, 24 minutes
  • Last Updated: September 2025
  • Price: 150 GBP

  • Access: Lifetime with updates 

  • Downloads: All code, datasets, and slides included

  • Support: Access to instructor included

  • Certificate: Yes, upon watching all videos, at no extra cost

  • Format: Private, self-paced, focused learning with no distractions

  • Community: For networking with other learners, join the dedicated Skool community

  • Instructor: Dr. Spyros Giannelos, Imperial College London

Linearising Non-Linear Objective Functions with Piecewise Approximations

£150.00Price

    Courses

    Linearising Non-Linear Objective Functions with Piecewise Approximations

    £150.00

    Ellipse 130.png

    Lifetime access to all videos of all courses.

    Ellipse 130.png

    Lifetime access to all videos of all courses.

    Ellipse 130.png

    Lifetime access to all videos of all courses.

    Ellipse 130.png

    Lifetime access to all videos of all courses.

    Ellipse 130.png

    Lifetime access to all videos of all courses.

    Ellipse 130.png

    Lifetime access to all videos of all courses.

    If you are searching for a job, then you may find interesting job opportunities through this monthly subscription program.

    Rectangle 42.png

    I'm a paragraph. Click here to add your own text and edit me. It's easy.

    Group 589_edited_edited_edited_edited_edited_edited.jpg
    © 2026 Dr Spyros Giannelos
    London, United Kingdom
    spyros@spyrosgiannelos.com
    Privacy Notice 
    bottom of page