Appliances Energy Dataset

<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> <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> <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> <br> Relevant papers<br> Luis 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> <br> Citation request<br> Luis 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>