Abstract
Buildings consume on average of over 40% of energy throughout the
world[ 1]. Therefore, it is crucial to fully understand the consump-
tion behaviour of building occupants for energy efficiency, efficient
load balancing and better demand-side management. To this end,
small number of datasets are available from developing countries,
particularly South Asia, that can model consumption behaviours
of a wide range of residential electricity users. In this paper, we
present PRECON dataset, collected over a period of one year, of
electricity consumption patterns for 42 residential properties having
varied demographics. Data is collected for the whole house con-
sumption and from high powered devices as well as from major
areas of the building. This dataset can play a pivotal role for distribu-
tion companies and policymakers to use data-driven optimization of
generation, perform better demand-side management and improve
energy efficiency.