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Parcourir par sujet "Natural gas demand"

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    • Applying Long Short-Term Memory Networks for natural gas demand prediction 

      Anagnostis A., Papageorgiou E., Dafopoulos V., Bochtis D. (2019)
      Long Short-Term Memory (LSTM) algorithm encloses the characteristics of the advanced recurrent neural network methods and is used in this research study to forecast the natural gas demand in Greece in the short-term. LSTM ...

    • Day-ahead natural gas demand forecasting in hourly resolution 

      Panapakidis I.P., Polychronidis V., Bargiotas D. (2021)
      Natural Gas (NG) demand forecasting is a research topic that starts to gather the attention of scholars, research institutions, utilities, retailers and other interested parties. Accurate predictions of future needs for ...