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2018
  • Konferenzbeitrag

Titel

Local forecasting for predictive smart home/object control

Abstract
Local forecasts will become a system component of intelligent houses and objects. This work examines the local forecast of three expected loads or generation of electrical energy, which are to be integrated into an intelligent energy management. These are the household load, photovoltaic feed and the charging load of electric vehicles. Forecasts were performed using linear stochastic signal models, neural networks and deep learning networks.
Author(s)
Arnoldt, Alexander
Leinweber, Leon
Guerra, Thiago Koh
Hauptwerk
15th International Conference on the European Energy Market, EEM 2018
Konferenz
International Conference on the European Energy Market (EEM) 2018
Thumbnail Image
DOI
10.1109/EEM.2018.8469949
Language
Englisch
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Tags
  • forecasting

  • artificial intelligen...

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