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DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks.

Firas BayramPhil AupkeBestoun S. AhmedAndreas KasslerAndreas D. TheocharisJonas Forsman
Published in: CoRR (2023)
Keyphrases
  • learning activities
  • adaptive learning
  • load forecasting
  • e learning
  • recurrent neural networks
  • wavelet neural network
  • short term
  • short term load forecasting
  • power system
  • long term
  • electric power