Dataset Open Access

Appliances Energy Dataset

Chang Wei Tan; Christoph Bergmeir; Francois Petitjean; Geoffrey I Webb


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3902637", 
  "author": [
    {
      "family": "Chang Wei Tan"
    }, 
    {
      "family": "Christoph Bergmeir"
    }, 
    {
      "family": "Francois Petitjean"
    }, 
    {
      "family": "Geoffrey I Webb"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        6, 
        21
      ]
    ]
  }, 
  "abstract": "<p>This dataset is part of the Monash, UEA &amp;&nbsp;UCR time series regression repository.&nbsp;<a href=\"http://tseregression.org/\">http://tseregression.org/</a></p>\n\n<p>The goal of this dataset is to predict total energy usage in kWh of a house. This dataset contains 138 time series obtained from the Appliances Energy Prediction dataset from the UCI repository.&nbsp;The time series has 24 dimensions. This includes temperature and humidity measurements of 9 rooms in a house, monitored with a ZigBee wireless sensor network.&nbsp;It also includes weather and climate data such as temperature, pressure, humidity, wind speed, visibility and dewpoint measured from Chievres airport.&nbsp;The data set is averaged for 10 minutes period and spanning 4.5 months.</p>\n\n<p>Please refer to <a href=\"https://archive.ics.uci.edu/ml/datasets/Appliances+energy+prediction\">https://archive.ics.uci.edu/ml/datasets/Appliances+energy+prediction</a>&nbsp; for more details<br>\n<br>\nRelevant papers<br>\nLuis M. Candanedo, Veronique Feldheim, Dominique Deramaix, Data driven prediction models of energy use of appliances in a low-energy house, Energy and Buildings, Volume 140, 1 April 2017, Pages 81-97, ISSN 0378-7788<br>\n<br>\nCitation request<br>\nLuis M. Candanedo, Veronique Feldheim, Dominique Deramaix, Data driven prediction models of energy use of appliances in a low-energy house, Energy and Buildings, Volume 140, 1 April 2017, Pages 81-97, ISSN 0378-7788</p>", 
  "title": "Appliances Energy Dataset", 
  "type": "dataset", 
  "id": "3902637"
}
1,254
5,837
views
downloads
All versions This version
Views 1,2541,253
Downloads 5,8375,837
Data volume 44.6 GB44.6 GB
Unique views 1,1181,117
Unique downloads 2,9222,922

Share

Cite as