PowerViz

Energy Consumption Visualization Framework for Smart Home. Build with

• Plotly Dash
• Smart Home Dataset with weather Information

Table of Contents

• How to start the application
• Features
  • Dimensionality reduction
    • PCA
    • t-SNE
    • UMAP
  • Parallel coordinates plot
  • Feature correlation
  • Rolling mean
• Contributors
• Documents
  • Project proposal
  • Report

How to start the application

1. Clone the repo:

git clone https://github.com/suvambasak/PowerViz.git

2. Extract the file HomeDHM.zip inside dataset. Path should be: /home/suvam/Projects/PowerViz/dataset/HomeDHM.csv
3. Create virtual environment

virtualenv .venv

. .venv/bin/activate

4. Install dependencies from requirements.txt

pip install -r requirements.txt

5. Start the application

python app.py

Features

Dimensionality reduction

Principal component analysis (PCA)

t-Distributed Stochastic Neighbor Embedding (t-SNE)

Uniform Manifold Approximation and Projection (UMAP)

Parallel coordinates plot

Feature correlation

Rolling mean

Contributors

• Suvam Basak
• Akshan Agrawal
• Akshay Gupta
• Anshumann
• Antreev Brar