Metadata-Version: 2.1
Name: fw-ddsm
Version: 0.9.5
Summary: Frank-Wolfe-based distributed demand scheduling method package
Home-page: https://github.com/dorahee/FW-DDSM.git
Author: Shan Dora He
Author-email: dora.shan.he@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# FW-DDSM

A python package for implementing the Frank-Wolfe-based distributed demand scheduling method. 

`pip install fw-ddsm`

# Setting up the ubuntu envrionment for using FW-DDSM

1. install python3 (should come with ubuntu v20
2. install pip
`sudo apt-get install python3-pip`
3. install dependencies
`pip3 install fw-ddsm pandas pandas_bokeh numpy more-itertools`
4. install snap
`sudo apt-get install snapd`
5. install minizinc bundle
`sudo snap install minizinc --classic`

# Features of FW-DDSM

1. Pricing master problem

Minimise the inconvenience, consumption cost and the peak-to-average ratio of the aggregate demand profile of all households. 

2. Household subproblem

Scheduling both the appliances and the batteries to minmise the cost, the inconvenience and the peak-to-average ratio of the household. 



