Estimating the demand for electricity is a critical step in the design of a medium to long term energy plan. Frequently, estimates are based on time series with few observation points or on data from other countries or regions. Microsimulation models use household surveys to offer an alternative estimation route based on observed electricity demand by households with different incomes.

This repository contains a python module : IPCmicrosimTool that can be used to run micro-simulation. It contains 2 basic component :

• Model : IPCmicrosimTool module
• Example code on how to run the model using iPython
• Data input
• Result
• Paper

• Python 2.7 installed on your machine. Follow the installation instruction on their downloads page. If you are using brew on your OSX, run this command on your terminal :

$ brew install python

• Required libraries installed on your machine. Run this command on your terminal :

$ pip install numpy
$ pip install scipy
$ pip install pandas
$ pip install matplotlib
$ pip install patsy
$ pip install statsmodel

• (Optional) iPython installed on your machine

$ pip install ipython
$ pip install mpltools

1. Clone this repository / download the zip file
2. Navigate to ipc_microsim_tool folder

3. Run python by typing this command on your terminal

$ python

4. Import the module

from ipc_microsim_tool import IPCmicrosimTool as imt

5. Run ipython by typing this command on your terminal

$ ipython notebook

6. Navigate to localhost:8888/tree on your browser
7. Open ipc_microsim_tool.ipynb

• python (2.7)
• numpy
• scipy
• pandas
• matplotlib
• patsy
• statsmodels

• Rafael Guerreiro Osorio - Initial work - Instituto de Pesquisa Econômica Aplicada - International Policy Centre for Inclusive Growth