Gyorgy Matyasfalvi (4 notebooks)

Capacity expansion of power generation

capacity_expansion.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Models the extensive form of a deterministic multi-stage capacity expansion problem. In this model we can have multiple resources of the same type which have identical properties. The model can be further developed into a stochastic one.

Plot feasible region

plot_feasible_region.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Plot the feasible region and optimal solution for a simple two variable model using AMPL’s Python API.
Tags: lecture, lp, simple

Pricing and target-market

pricing_and_target_market.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Formulate a pricing optimization and target-market problem as a MILP.

Unit Commitment for Electrical Power Generation

unit_commitment.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: This notebook is based on the following [notebook](https://colab.research.google.com/github/Gurobi/modeling-examples/blob/master/electrical_power_generation_1_2/electrical_power_1_gcl.ipynb) and illustrates the power generation problem using AMPL. The original version featured the Gurobi solver. By default, this notebook uses the HiGHS and CBC solvers.