Energy Informatics Group
Department of Comupter Science, SBASSE
Lahore University of Management Sciences
Opposite Sector U, DHA., Lahore 54792, Pakistan

Home | People | Research | PRECON | EV Report | Publications | Gallery | Contact

Energy Informatics Group

The Energy Informatics Group (EIG) carries out interdisciplinary research in the area of renewable energy analytics, smart grids, and energy efficiency. The broader goal of EIG is to help Pakistan use 100% renewable sources for generating electricity by 2050. To this end, the group carries out research in short, medium and long term forecasting of energy demand, renewable energy generation forecasting for wind and solar resources, demand side management in agricultural, residential and industrial sectors, energy efficiency and renewable energy integration in already built environments, improving energy distribution through soft load shedding, detecting non-technical losses in energy distribution systems and other related topics. EIG also works with the governmental agencies to develop evidence-based policy recommendations for long term renewable energy plan for Pakistan.

PRECON: Pakistan Residential Energy Consumption Dataset

Buildings consume on average of over 40% of energy throughout the world. Therefore, it is crucial to fully understand the consumption 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 consumption and from high powered devices as well as from major areas of the building. This dataset can play a pivotal role for distribution companies and policymakers to use data-driven optimization of generation, perform better demand-side management and improve energy efficiency.

Access the published paper PRECON: Pakistan Residential Energy Consumption Dataset
Download the PRECON Dataset