Unknown

Dataset Information

0

The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea.


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 houses (22) 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.

SUBMITTER: Shin C 

PROVIDER: S-EPMC6783544 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea.

Shin Changho C   Lee Eunjung E   Han Jeongyun J   Yim Jaeryun J   Rhee Wonjong W   Lee Hyoseop H  

Scientific data 20191008 1


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  ...[more]

Similar Datasets

| S-EPMC6176851 | biostudies-other
| S-EPMC7452690 | biostudies-literature
| S-EPMC4833132 | biostudies-literature
| S-EPMC8761682 | biostudies-literature
| S-EPMC6369333 | biostudies-literature
| S-EPMC6598834 | biostudies-literature
| S-EPMC8163809 | biostudies-literature
| S-EPMC6592564 | biostudies-literature
| S-EPMC8641442 | biostudies-literature