Data

1. Data E3 Hackathon • Energy Efficiency for Everyone Presented By: Ong Yu Hui (Analyst/EMA)

2. Data + Apps = Energy Efficiency Solutions

3. Data What influences energy consumption at home?

4. First time release • Anonymisedmicrodata • Households’ Monthly Electricity Consumption • Households’ Monthly Gas Consumption • Sample of Households’ Half-hourly Electricity Consumption NEW! NEW! NEW!

5. Anonymising helps to safeguard consumers’ interests Protecting personal information, while ensuring data is still sufficiently granular and relevant for prototype apps development

6. Anonymisingmicrodata... Anonymisation ≠ De-naming/ masking of direct identifiers

7. Can outlier consumption values be shared?To safeguard individual consumer’s interest, we will not be sharing such values. We would like to tap on the E3Hackathon to crowd-source ideas to obtain such consumption values Will the data still make sense after anonymisation?Anonymised data is a good reflection of actual data, and thus remains useful and relevant as participants can observe prevailing trends on household electricity and gas consumption Does anonymised data affect apps that I create?Anonymised data is used to create prototypes during the Hackathon. Selected apps may be developed with actual data, withsupport from relevant data sources

8. http://www.c3energy.com/technology Challenge: Create prototype applications to encourage energy efficiency and conservation in Singapore’s residential sector Selected apps may be developed with actual data, with support from relevant data sources http://www.agl.com.au/residential/why-choose-agl/my-agl-iq/features • Make use of highly granular Hackathon datasets • Develop ideas to crowd-source information of households • Provide feedback on how to improve granularity and relevancy of data for developing an open data platform in future http://www.onzo.com/download/Onzo%20Appliance%20Inference%20Presentation.pdf

9. Thank you!