A prediction system for home appliance usage
作者: Kaustav BasuLamis HawarahNicoleta ArghiraHussein JoumaaStephane Ploix
作者单位: 1G-SCOP Laboratory, 46, Avenue Felix Viallet, 38031 Grenoble Cedex 01, France
2University Politehnica of Bucharest, 313 Splaiu Independentei, 060042 Bucharest, Romania
刊名: Energy & Buildings, 2013, Vol.67 , pp.668-679
来源数据库: Elsevier Journal
DOI: 10.1016/j.enbuild.2013.02.008
关键词: Appliance usage predictionLearning algorithmEnergy management in homes
原始语种摘要: Abstract(#br)Power management in homes and offices requires appliance usage prediction when the future user requests are not available. The randomness and uncertainties associated with an appliance usage make the prediction of appliance usage from energy consumption data a non-trivial task. A general model for prediction at the appliance level is still lacking. This work proposes to improve learning algorithms with expert knowledge and proposes a general model using a knowledge driven approach to forecast if a particular appliance will start during a given hour or not. The approach is both a knowledge driven and data driven one. The overall energy management for a house requires that the prediction is done for the next 24h in the future. The proposed model is tested...
全文获取路径: Elsevier  (合作)
影响因子:2.679 (2012)

  • appliance 七矫正器
  • usage 使用率
  • prediction 预报
  • system