Ontology highlight
ABSTRACT:
SUBMITTER: Shin C
PROVIDER: S-EPMC6783544 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
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]