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


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PRECON: PAKISTAN RESIDENTIAL ELECTRICITY CONSUMPTION DATASET


PRECON is a first of its kind extensive dataset of electricity consumption patterns of users in developing countries. The dataset has been collected through smart meters over a period of one year and comprise of data of users belonging to different demographics and different social and financial backgrounds. It provides details of electricity consumption data and meta-data of houses opted for data collection. Also, we have provided details on high electricity consumption devices and the load profile of the whole house. The aim of this data collection and processing exercise is to understand the electricity consumption patterns of users in the developing world. A sound realization of consumption patterns can help in the development of intelligent smart grids and better demand-side management tools.

PRECON is unique from the datasets of its kind because it is only extensive dataset collected over a period of one year which is publically available. Other than that it is different in terms that it monitors a greater number of households than any other similar dataset of developing countries.

Link to Download PRECON Dataset

Access the published paper here

In case of any query, contact ahmad.nadeem@lums.edu.pk


COMMONLY USED ABBREVIATIONS

The data of every volunteer contains various columns which refer to different appliances that volunteers have. The names of the columns are the abbreviations for a particular appliance and the abbreviations for different appliances are given in the table below.

Full Name

Abbreviation
Refrigerator and Washing Machine Ref_WM_kW
AC and UPS AC_UPS_kW
AC and Refrigerator AC_Ref_kW
AC in Guest Room AC_GR_kW
AC in Study Room AC_SR_kW
AC in Master Bed Room AC_MBR_kW
AC in Bed Room AC_BR_kW
AC in Drawing Room AC_DR_kW
AC in Dining Room AC_Dr_kW
AC in Lounge Room AC_LR_kW
Study Room SR_kW
Kitchen Kitchen_kW
Bed Room BR_kW
Lounge Room LR_kW
Laundary Laundary_kW
Servant Room Servant_kW
UPS UPS_kW
Water Dispenser WD_kW
Water Pump WP_kW
Refrigerator Refrigerator_kW
Freezer Freezer_kW
Freezer and Water Dispenser Freezer_WD_kW
Load without UPS Non_UPS_load
AC AC_kW
Window AC W_AC_kW
Microwave Oven MV_kW
Iron Iron_kW


Bibliography

BibTex

@inproceedings{Nadeem:2019:PPR:3307772.3328317,
author = {Nadeem, Ahmad and Arshad, Naveed},
title = {PRECON: Pakistan Residential Electricity Consumption Dataset},
booktitle = {Proceedings of the Tenth ACM International Conference on Future Energy Systems},
series = {e-Energy '19},
year = {2019},
isbn = {978-1-4503-6671-7},
location = {Phoenix, AZ, USA},
pages = {52--57},
numpages = {6},
url = {http://doi.acm.org/10.1145/3307772.3328317},
doi = {10.1145/3307772.3328317},
acmid = {3328317},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {Consumption, Dataset, Electricity, PRECON},
}

Endnote

%0 Conference Paper
%1 3328317
%A Ahmad Nadeem
%A Naveed Arshad
%T PRECON: Pakistan Residential Electricity Consumption Dataset
%B Proceedings of the Tenth ACM International Conference on Future Energy Systems
%@ 978-1-4503-6671-7
%C Phoenix, AZ, USA
%P 52-57
%D 2019
%R 10.1145/3307772.3328317
%I ACM






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