A load forecasting method for HEMS applications

Hong-Tzer Yang, Jian Tang Liao, Che I. Lin

研究成果: Conference contribution

23 引文 斯高帕斯(Scopus)

摘要

In a home energy management system (HEMS), household load forecasting is difficult, due to its small number of loads and random nature of turning on/off. However, it is important to pre-schedule the load demands of home appliances in the HEMS for power expenditure minimization. This paper proposes a new day-ahead short-term artificial neural network (ANN) based forecasting method, which consists of the techniques of data selection, wavelet transform (WT), ANN-based forecasting, and error-correcting (EC) functions. To verify the effectiveness of the proposed forecasting method, the approach has been verified by using practical data for household load demands. Numerical forecasting results are presented and discussed in this paper.

原文English
主出版物標題2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
DOIs
出版狀態Published - 2013 十二月 27
事件2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013 - Grenoble, France
持續時間: 2013 六月 162013 六月 20

出版系列

名字2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

Other

Other2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
國家/地區France
城市Grenoble
期間13-06-1613-06-20

All Science Journal Classification (ASJC) codes

  • 能源工程與電力技術
  • 燃料技術

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