/CALOLS

Capstone project for the course EE 257 Optimization in Power Systems.

Primary LanguageJupyter Notebook

A Consumer Appliance-Level Framework for Optimized Load Shedding


Overview

An implementation of the paper Consumer Appliance-level Load Shedding Optimization for Real-time Application (by Marven E. Jabian, Ryohei Funaki, and Junichi Murata) which is yet to appear in a peer-reviewed journal.

This is part of the curricular requirements of the graduate course EE 257 Optimization in Power Systems offered by Mindanao State University - Iligan Institute of Technology and handled by Engr. Abdul Aziz G. Mabaning.


Directory

Paper

The primary documentation for this project is the paper entitled A Consumer Appliance-Level Framework for Optimized Load Shedding. Everything related to the paper is in Paper/. Some of the key files:

Note: As this project is currently an on-going effort, the paper is not yet final and will continually be updated throughout the duration of the course.

Datasets

Data files and regarding the datasets are in Dataset/. Aside from the paper, documentation pertaining to the datasets are also avaialable in the following files:

Experiments

Experiment files and codes are in Experiments/.

Others

Miscellaneous/ contains some supporting files that are not directly used in the paper, in the datasets, or in the experiments.

Much of the work is performed in a conda environment with the following key packages:

  • Python 3.8.0
  • Matplotlib 3.3.2
  • NumPy 1.19.2
  • pandas 1.1.2

To replicate the environment, use calols.yml; e.g., via

(base) PS C:\WINDOWS\system32> conda env create --file calols.yml

We use MathType to typeset equations and mathematical symbols in figures.pptx. Preferences (e.g., fonts) are stored in Default MathType Preferences.eqp, which can then be loaded in MathType.


Updates

This project is under active development.

22 October 2020

17 October 2020