This document summarizes a project analyzing household energy consumption in Singapore. It includes two datasets on monthly energy consumption and population. The data was cleaned and fields like per capita consumption and year-over-year changes were calculated. Key performance indicators include area-wise consumption, overall averages, consumption ranges, and top locations. The proposed dashboard would allow users to analyze trends in electricity and gas consumption by dwelling type, region, and year to help reduce energy use. It would have interactive graphs, maps, and rankings that update based on user selections.

1. Energy Consumption Singapore
Project Submitted by
Abhilasha Kumari |Ashok Eapen
Pranav Agarwal | Rohit Pattnaik
[National University of Singapore]

2.  Two Datasets
 Average Monthly Household Energy Consumption ( Energy = Electricity, Gas)
 Population
 Source:
 http://www.ema.gov.sg/singapore_energy_statistics.aspx
 https://data.gov.sg/search?q=ingapore+Residents+by+Planning+Area%2FSubzone%2C+Age+Group+an
d+Sex%2C
 Data Cleaning And Calculated Fields:
 Data was clean, few missing values and very odd values were manually added/corrected
 Added/Calculated Fields
 Country (as Singapore)
 % Change from Year on Year for Consumption Energy (Energy = Electricity, Gas)
 Average Monthly Energy Consumption Per Capita Population
 % Change Year on Year for above
Data Collection and Cleansing

3. Key Performance Indicators (KPI)
 Area wise Per Capita Electricity and gas consumption
 Overall Average Electricity and Gas consumption
 Area wise segregation of Average Electricity and Gas consumption
 Rate of Change in Energy consumption
 Range of Consumptions (Minimum, Average, Maximum)
 Top “N” Locations with highest consumption
Business Goal & KPIs
To Achieve a reduction in gas and electricity consumption in Singapore
By Monitoring Past Energy Consumption

4. Interesting Points to Ponder on
Our Dashboard would help the user answer the below questions:
 Do bigger Dwelling Types consume more energy ?
 Do high electricity consumers consume more gas too?
 Does a yearly change in consumption suggest the advent of
more energy efficient devices?
 What has been the trend in energy consumption over the past
few years?
 Which regions are among the highest consumers of Energy?
 What is the pattern in consumption across years, across
dwelling types?
 What is the impact of population on the level of energy
consumption?

5. Dashboard Snippets
Easy to read
Region based
consumption level
consumption for a
given year
User Selections:
1)Year
2)Energy Type

6. Energy Consumption by Dwelling types
The (selected) Energy
Consumption by Dwelling Type is
reflected by a line graph
The Dwelling
Type are
represented
by different
colors
The labels make it easier to
identify the trend in
consumption year after year

7. Ranking System & Stats
The User can select:
• Number, N, to view the Top “N” consumers
• Energy-Type
• Year
STATS On dashboard

8. Trends in Gas consumption
Rate of change of Gas
consumption
Overall Singapore
By Dwelling type
Granularity
• 11 Years Data
(Yearly)
Dwelling types:
• 1-2 Bedroom
• 3 Bedroom
• 4 Bedroom
• 5 Bedroom

9. Trends in Electricity consumption
Rate of change of
Electricity consumption
Overall Singapore
By Dwelling type
Granularity
• 11 Years Data
(Yearly)
Dwelling types:
• 1-2 Bedroom
• 3 Bedroom
• 4 Bedroom
• 5 Bedroom

10. Dashboard Layout

11. Smart Features in the Dashboard
 Graphs changed by selection of “Year” by user
 Selection of Energy- Type had 4 options
 Electricity
 Gas
 Electricity Per Capita Population
 Gas Per Capita Population
 All the Graphs reflect the chosen Energy-Type along with names reflecting the
chosen Energy-Type
 The graphs for 1)Consumption by Dwelling Type and 2)Year on Year Changes were
dynamic to reflect the data for the region selected on the Map
 The Top N Consumers change with the Energy-Type and the year selected
 The above, made Dashboard very dynamic and flexible to the choices by users
 The Highlight features adds further dynamism to see various graphs depending on
selected location, say within a Map or within the Rank chart

12. Thank You