Group06 Elec3city Proposal
Contents
Project Motivation
Climate change is a global environmental issue that impacts everyone, and a key contributor to this issue is the rising energy consumption to meet growing energy need. Singapore has launched campaigns to promote more efficient use of energy to meet this growing energy need rather than increasing energy consumption. In order to better tackle this rising energy consumption, we will first need to understand what are the factors that contribute to this increase, and this was the key motivation that led us to embarking upon this project.
Project Objective
- Identify variables that have a strong influence on energy consumption. We plan to examine variables such as location in Singapore, temperature, age, income level and housing types
- Identify geographical clusters of sub-zones with abnormally high/low level of energy consumption in Singapore
- Identify the key difference between regions with high consumption and regions with low consumption
- Create a regression model that is able to predict the energy consumption of a family
Data Preparation
Data Collection
The data collected is in the format below:
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With all the data ready, we can now proceed for data cleaning.
Data Cleaning
Literature Review
Methodology:
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Learning Points:
Areas for improvement:
Approach
After performing the literature review, we have a better understanding of what methodology could be used to achieve our objective. We then consulted our professor to decide the most appropriate analysis technique for use and finally we chose the techniques below.
Web Application Design
Design Inspiration
Initial Storyboard
Application Architecture
The image below shows the application architecture of our web application.
Application Overview
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Interesting Findings
The following section describes some of the interesting discussions from the R Shiny Web Application we have created.
Project Challenges
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Project Timeline
Meet the Team
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