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Appliances Energy Dataset

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


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    "description": "<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>", 
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    "publication_date": "2020-06-21", 
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        "affiliation": "Monash University", 
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