The Energy Analyser

Team Name: 
Synergey

How can we reduce energy consumption in Australia? Do consumers know how they rank in energy use amongst people with the same social profile.

The Energy Analyser can help contextualise energy use for people and provide recommendations to reduce the cost of energy bills. The tool offers the following functionality:

  • Comparison Meter: See how you compare to the people who share similar demographic information. This feature allows the user to find out if they are overpaying for electricity.
  • Appliance Recommendation: See what appliances rank better based on energy efficiency and social rating collected by the Energy Analyser.

The Data used to build the Energy Analyser includes the following:

  • ABS Energy Data
  • Energy Rating Data for household appliances
  • Sample household electricity time of use data
  • Air-conditioner Location Running Hours Data

Technology used

  • Website:  JavaScript - jQuery
  • Database: PHP MySQL
  • Data visiualization: R - ggplot

How does our Project satisfy prize categories:

  • Best use of NSW Data: With the combination of ABS energy data, household appliance data and sample household electricity time data we are are able to perform an analysis of energy use per user then provide effect recommendations the improve household energy efficiency via appliance recommendations
  • Bounty: Air conditioner bounty: Our product can provide recommendations of efficient air conditioners, based on energy star data
  • Bounty: Most useful Product or Service for the Public: Our product informs users how they can reduce energy consumption by households saving cost on electricity bills and energy consumption
  • Most innovative hack to engage the community and the environment: The energy analyser blends community preference (as we collect consumer preference data on appliance products they own) and recommend efficient home appliances for people to select the right product for themselves and the environment

The Team

  1. Ed (Developer)
  2. Amy (Data Scientist)
  3. Charley (Developer)
  4. Simon (Data Scientist)
  5. AJ (Design)

Group Photo Link: http://postimg.org/image/v0njn22oh/ 

 

Datasets Used: 
The Data used to build the Energy Analyser includes the following: ABS Energy Data Energy Rating Data for household appliances Sample household electricity time of use data Air-conditioner Location Running Hours Data

Local Event Location: