Difference between revisions of "1718t1is428T15"
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− | Our team aims to create a visualisation that leverages on energy datasets provided by EMA to perform spatial analysis to identify energy usage clusters with hexagonal binning | + | Our team aims to create a visualisation that leverages on energy datasets provided by EMA to perform spatial analysis to identify energy usage clusters with hexagonal binning. |
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Revision as of 20:48, 12 October 2017
PROJECT PROPOSAL |
Contents
Project Motivation
Experts have warned that power demand is set to double by 2030 globally despite authoritative control. High power consumption can already be observed locally. According Energy Market Authority (EMA), Singapore has faced increasing power consumption from 1965 to 2013 [1].
As Singapore is land-scarce and does not have significant renewable energy options such as hydro-power, wave, or sufficient land for mass solar energy production, energy has been a top concern in the urban nation[2]. It is thus important to promote energy saving concepts to the public as well as deploying energy saving solution island wide. However, the usual analysis tools are not enough to provide a different perspective to facilitate the deployment of the solution. Information about the energy consumption levels of residents in Singapore are often not conveyed adequately enough in data visualisation. While EMA and Singstat provide annual data and reports on energy usage in Singapore, a powerful visualisation technique should be used to gain insights effectively.
Project Objective
Our team aims to create a visualisation that leverages on energy datasets provided by EMA to perform spatial analysis to identify energy usage clusters with hexagonal binning.
Dataset
The analysis will be based on EMA dataset:
- Public housing's average monthly household electricity consumption (kwh) (2013 - 2015)
- Private apartment's average monthly household electricity consumption (kwh) (2013 - 2015)
Related Works
Inspirations
EMA publishes energy statistics on an annual basis to provide readers with a comprehensive understanding of the Singapore energy landscape through a detailed coverage of various energy-related topics. As project Enerlyst focuses on analysing households' energy consumption, only private and public households data will be used. This study will be based on EMA dataset from 2013 to 2015. 2013 data will be prepared manually whereas 2014 and 2015 data will be uploaded to the application and process on the fly.
Proposed Storyboard
Technical Challenges
Timeline
Week No(s). | Task | Status |
---|---|---|
3 | Form team | Completed |
4-5 | Discuss and choose a project topic | Completed |
6-9 | Research chosen project topic and data collection | Completed |
10-11 | Create project repository and web application planning | Completed |
12 | Create project wiki | Completed |
11-15 | Develop application | Completed |
14-15 | Research report | Completed |
16 | Finalize application | Completed |
16 | Finalize Poster and Research Paper | Completed |
16 | Prepare for Townhall Presentation | Completed |
16 | Townhall Poster Presentation | Completed |
16 | Final Project Submission | Completed |
Technologies/Tools
Reference
Comments