Hackathon-DataCrackers

Table of contents

• Introduction
• Technologies
• Data Source
• Goals
• Contributors
• Setup

Introduction

An Interactive Dashboard is developed to summerize high-frequency energy consumption data in 81 electricity meters on UNCG’s campus.These meters represent power utilization of various buildings across UNCG. This helps the university to understand the requirements and usage of energy consumption and efficiency across the campus.

Technologies

• Python
• Dash
• CSS
• Bootstrap

Libraries used

• plotly
• pandas
• dash
• dash_core_components
• dash_html_components
• dash_bootstrap_components

Data Source

https://github.com/UNCG-DAISY/Green_Hackathon-Fall2020/tree/main/data/Analysis

Goals

• Creating a real-time interactive plot of energy consumption and prediction.
• Creating a Static plot of gathered data.
• Creating a Predictive Plot for the data gathered.
• Creating a reactive plot of average predictions by group.

Contributors

Team Members

• Himaja Avula
• Amulya Yadagani
• Nikitha Narsing
• Rashmi Hassan Udaya Kumar
• Sadhana Thummalapenta

Mentors

• Dr.Somya Mohanty
• Will Queen

Setup

The /src folder contains the Jupyter notebooks and the /data folder contains the datasets that are used for this project.

• The detailed information and documentation about this project is included in the report named user_guide under /docs folder in this repository.