Co-LivEn : COllective LIVing ENergy Dataset
type: Dataset
description: The dataset contains detailed electricity measurements of appliances in a collective living (co-living) student apartment at KTH Live-in-Lab. The measurements included are RMS voltage, RMS current, real power, and power factor. The data was collected over a period of 277 days between 28th August 2020 and 31st May 2021 with 1 second time resolution. The compressed file "appliance_csv.zip" contains data in plain CSV file format, whereas "appliance_mat.zip" contains data in MATLAB file format. For more detailed information and insights into the dataset and the data collection process, refer to the following article. Kindly cite this when using the dataset. R. R. Avula, T. J. Oechtering and D. Månsson, "Adversarial Inference Control in Cyber-Physical Systems: A Bayesian Approach With Application to Smart Meters," in IEEE Access, vol. 12, pp. 24933-24948, 2024, doi: 10.1109/ACCESS.2024.3365270.
conditions of access: http://publications.europa.eu/resource/authority/access-right/PUBLIC
conditions of access: info:eu-repo/semantics/openAccess
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Ramana R. Avula
creator: Tobias J. Oechtering
creator: Daniel Månsson
date modified: 2026-04-23
date published: 2022-04-23
is part of: https://zenodo.org/communities/kth/
keywords: Energy Engineering
  type: DefinedTerm
  term code: 20304
keywords: appliance energy
keywords: smart meter
keywords: household energy
license: https://creativecommons.org/licenses/by/4.0/
publisher: KTH Royal Institute of Technology
version: 0

PropertyValue
property ID: DOI
value: 10.5281/zenodo.6480220

PropertyValue
property ID: URL
value: https://zenodo.org/records/6480220

PropertyValue
property ID: oai
value: oai:zenodo.org:6480220

Ramana R. Avula
type: Person
affiliation: KTH Royal Institute of Technology
family name: Ramana R. Avula

KTH Royal Institute of Technology
type: Organization
name: Royal Institute of Technology

Tobias J. Oechtering
type: Person
affiliation: KTH Royal Institute of Technology
family name: Tobias J. Oechtering

Daniel Månsson
type: Person
affiliation: KTH Royal Institute of Technology
family name: Daniel Månsson