Energy consumption patterns and load forecasting with profiled cnn-lstm networks

HIGHLIGHTS

• who: Kareem Al-Saudi et al. from the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen have published the Article: Energy Consumption Patterns and Load Forecasting with Profiled CNN-LSTM Networks, in the : Processes 2021, 9, 1870. of 11/07/2015
• what: Following that the authors attempt to classify new days into pre-generated clusters by making use of the available context information (day of the week month predicted weather). To attempt to solve the previously outlined VSTLF problem at the individual household level, the authors propose a novel solution that . . .
  

   

  

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