Group06 Elec3city Proposal

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PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER

Project Objective

Through our project, we aim to:

1. 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
2. Identify geographical clusters of sub-zones with abnormally high/low level of energy consumption in Singapore
3. Identify the key difference between regions with high consumption and regions with low consumption
4. Create a regression model that is able to predict the energy consumption of a family

Data Preparation

Data	Source	Data Type
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 2H 2016	Energy Market Authority (ema.gov.sg)	xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 1H 2016	Energy Market Authority (ema.gov.sg)	xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 2H 2015	Energy Market Authority (ema.gov.sg)	xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 1H 2015	Energy Market Authority (ema.gov.sg)	xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 2H 2014	Energy Market Authority (ema.gov.sg)	xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 1H 2014	Energy Market Authority (ema.gov.sg)	xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 2H 2013	Energy Market Authority (ema.gov.sg)	xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 1H 2013	Energy Market Authority (ema.gov.sg)	xls
Average Monthly Household Electricity Consumption by Postal Code (Private Apartments), 2015 and 2016	Energy Market Authority (ema.gov.sg)	xls
Average Monthly Household Electricity Consumption by Postal Code (Private Apartments), 2013 to 2014	Energy Market Authority (ema.gov.sg)	xls

Data Collection

The data collected is in the format below:

Attributes	Example

With all the data ready, we can now proceed for data cleaning.

Literature Review

Methodology:
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Learning Points:

Areas for improvement:

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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

Type	Feature	Image	Purpose

Interesting Findings

The following section describes some of the interesting discussions from the R Shiny Web Application we have created.

Project Challenges

	Key Challenges	Description	Solution
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Project Timeline

Meet the Team

Feel free to leave any comments! :)

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