Page 343 - Contributed Paper Session (CPS) - Volume 6

CPS1958 Zaid AlQadhi et al.

Smart meters data as a source of household and
farms statistics a case study from the United
Arab Emirates
Zaid AlQadhi, Marwa F. Elkabbany, Hessa Al Shehhi, Noora Ali
Federal Competitiveness and Statistics Authority, United Arab Emirates

Abstract
Adoption of electricity and water meters data has proven to be an efficient
source of household information and land-use distribution. In 2013, Federal
Competitiveness and Statistics Authority (FCSA) completed a project that
aimed to define, validate and acknowledge the methodology of utilizing
meter-driven data in identifying household locations and densities. Such
digital data adoption methods will minimize field survey and thus save
governments’ resource and save a lot of time. This paper represents a smart
approach to extract farm and residential units’ statistics through deriving data
from active utility meters. The identification and classification of active
residential/farm water and electricity meters was harnessed to detect the
presence of a residential/farm unit. The number of meters was then
aggregated at a district and sub-district levels to extract the count of families
and farms within the geographical area and deduce family and farm density
per square kilometre. This approach was used for 2013 and 2017 datasets to
present the growth happening after 4 years.

Keywords
Government information sharing; digital enumeration; smart digital census;
meters derived statistics; household statistics;

1. Introduction
FCSA continuously works with the United Arab Emirates government
agencies and statistical centres to provide accurate and reliable statistics on
social, economic, environmental and other conditions for decision makers,
policy makers, the public, the media, the business community, researchers and
the international community.
In order to achieve this, FCSA is developing the national statistical system
in the country to ensure the safety of statistical methodologies and ensure
that they conform to the best international standards and follow new methods
and practices to benefit from various traditional and other sources of
registration.
The preparation of population density maps supports the development of
the national statistical system in order to provide accurate statistics for
decision makers, policy makers as well as all domestic and international users.

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