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Melbourne Datathon 2020

Can Electricity Consumption Patterns Tell Us Anything About The Pandemic?


Data2App

Electricity Consumption in Australia

A user-interactive data visualisation app developed in R Shiny that recites a story about how Australia consumes its electricity.

Watch the product video
Explore the app online

Setup on your local system

  • Download and Install R in your system
https://cran.r-project.org/bin/
  • Download and Install RStudio in your system
https://rstudio.com/products/rstudio/download/
  • Clone this repository into your system
git clone https://github.com/akale1994/Melbourne-Datathon-2020.git
  • Open the below files in RStudio
Data2App > App > server.R
Data2App > App > ui.R
  • Install the required libraries
Uncomment the library installation code before running the app if the respective libraries are not installed
  • Run the app
Click on 'Run App' as shown below

screenshot


Insights

A Causal Forecasting Model built using Multi-layer Perceptron Artificial Neural Network

The model learns on pre Covid-19 data and forecasts the electricity prices in Victoria for the Covid-19 lockdown period in Victoria, Australia.

Read the report

Setup on your local system

  • Download and install Python in your system
https://www.python.org/downloads/
  • Download and install Anaconda in your system
https://docs.anaconda.com/anaconda/install/
  • Download and install Jupyter Notebook in your system
https://jupyter.org/install/
  • Clone this repository into your system
git clone https://github.com/akale1994/Melbourne-Datathon-2020.git
  • Open and run the notebook from Jupyter Notebook
Root directory > MelbourneDatathon.ipynb

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