The enertalk dataset, 15 hz electricity consumption data from 22 houses in Korea

Changho Shin, Eunjung Lee, Jeongyun Han, Jaeryun Yim, Wonjong Rhee, Hyoseop Lee

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

AMI has been gradually replacing conventional meters because newer models can acquire more informative energy consumption data. The additional information has enabled significant advances in many fields, including energy disaggregation, energy consumption pattern analysis and prediction, demand response, and user segmentation. However, the quality of AMI data varies significantly across publicly available datasets, and low sampling rates and numbers of houses monitored seriously limit practical analyses. To address these challenges, we herein present the ENERTALK dataset, which contains both aggregate and per-appliance measurements sampled at 15 Hz from 22 houses. Among the publicly available datasets with both aggregate and per-appliance measurements, 15 Hz was the highest sampling rate. The number of houses22) was the second-largest where the largest one had a sampling rate of 1 Hz. The ENERTALK dataset is also the first Korean open dataset on residential electricity consumption.

Original languageEnglish
Article number193
JournalScientific data
Volume6
Issue number1 1
DOIs
StatePublished - 2019

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