ELECgrid Proposal

[File:.png|frameless|center|500px]]

PROPOSAL

POSTER

PROJECT APPLICATION

RESEARCH PAPER

PROJECT DESCRIPTION

As we speak, Singapore is rolling out its plan for the privatisation of the electricity market. As of now there are as many as 12 electricity retailers competing to sell you their energy package. Each retailer charges a price lower than the tariff price set by Singapore Power which is the de facto energy retailer unless you make the effort to switch to private electricity retailers. One of the business challenges faced by these retailers is the lack of accurate demand forecast for electricity. These retailers do not produce electricity, instead, they bulk purchase electricity from electricity generating companies and subsequently sell the electricity to their customer. A poor forecast of demand of electricity results in electricity being wasted and revenue lost.

Our project aims to estimate the total monthly electricity consumption per housing units to provide these electricity retailers a picture of how much electricity is needed in the grid.

PROJECT OBJECTIVES

To provide an estimate of the monthly electricity consumption by dwelling type.

PROJECT MOTIVATION

The topic on the privatisation of the electricity market stirred our curiosity and we decided to looked at some of the challenges faced by the private electricity retailers. Through our discussions,we realised the importance of a more robust forecast for electricity demand. Hence using the knowledge of geospatial analytics, we would like to tackle this issue.

PROJECT PROTOTYPE

1300px

PROJECT MILESTONES

DATA SOURCES

Data Set	Format	Attributes
Average Monthly Household Electricity Consumption Jan- June 2016	xls	Average electricity consumption Dwelling type
Average Monthly Household Electricity Consumption Jul- Dec 2016	xls	Average electricity consumption Dwelling type
Master-plan-2014-subzone-boundary-web	shapefile	Subzone boundary
Singapore-residents-by-subzone-age-group-and-sex-jun-2017-gender	kml	Demographics