Overview

Occupancy Classification (OC) data product provides occupancy insights based on the fusion of two crucial datasets: Electricity Sales and Water Consumption.

The primary goal is to comprehensively understand and classify the occupancy patterns within buildings and spaces. By combining information on water consumption and electricity sales, the OC data product offers a detailed understanding of how premises are occupied across residential, commercial, and public properties.

Functionality​

The Occupancy Classification (OC) data product enables users to:

• Predict whether a premise is Occupied or Vacant
• Prioritise units with high Occupancy through Ranking for Visitation

Some of the example use cases inclues:

• Property inspection
• Estate management
• Occupancy violation investigations

Schema​

Below schema is presented with mock data:

UEN	POSTAL_CODE	LEVEL_UNIT_NUMBER	SUBUNIT	YEAR	MONTH	IS_OCCUPIED	SCORE
NULL	123456	#10-01	NULL	2020	01	TRUE	0.85
A0123456	321123	NULL	NULL	2020	01	TRUE	0.79
FNB123	787878	#01-01	STALL 1	2020	01	TRUE	0.91

Update Frequency​

The Occupancy Classification (OC) data product is scheduled to be updated on a monthly basis.

It relies on the insights gathered from Electricity Sales and Water Consumption datasets to ensure the timely availability of accurate predictions.

Field Selection during Subscription​

During the subscription phase, please ensure the corresponding dataset fields are selected to gain access to the desired OC data product data fields:

Occupancy Classification Data Field	Required Fields from Electricity	Required Fields from Water
UEN	UEN / NRIC	UEN
POSTAL CODE	Postal Code	Postal Code
BLK HOUSE NUMBER	Block House Number	Block/House Number
LEVEL UNIT NUMBER	Level Unit Number	Unit
SUBUNIT	Level Unit Number	Unit
PREMISE TYPE	Premises Type	Postal Code
ENTITY NAME	Account Holder	Account Holder Name
SSIC	SSIC	UEN
SECTOR	Sector	UEN
SUB_SECTOR	Sub Sector	UEN

For instance, if user desires to obtain the PREMISE TYPE column for the data product, they must select both Premises Type from Electricity dataset and Postal Code from Water dataset during subscription.

After the data product has been subscribed, the underlying fused datasets with selected fields will be made available to the user as well. Users may proceed to the download interface under data requests in order to access those datasets.

Scope filters​

Scope filters are applied at the data product level. It will then be applied to the underlying water and electricity datasets.

The following scope filters are available for occupancy classification:

1. District Number
2. Region Name
3. Planning Area Name
4. Subzone Name
5. UEN
6. Postal Code
7. Block/House Number
8. Level Unit Number
9. Sector
10. SSIC
11. Premise Type

For example, to retrieve only household data, apply the Sector scope filter and select Households.