Skip to main content
← Back to work

Works cited by this work

29 works

Work: Electricity Demand Forecasting for Cultural Institutions: A Comparative Study of Lstm and Cnn-Lstm Models with Three Data Normalization Techniques Using Weather and Price Data – Case Studies from Norwegian Museums

  1. Predicting residential energy consumption using CNN-LSTM neural networks

    Tae Young Kim, Sung-Bae Cho

    Article20194 citations
    ABI
  2. Long Short-Term Memory

    Alex Graves

    Chapter20123 citations
    ABI
  3. Untitled

    Other1 citations
    ABI
  4. Untitled

    Other1 citations
    ABI
  5. Untitled

    Other1 citations
    ABI
  6. Untitled

    Other1 citations
    ABI
  7. Untitled

    Other1 citations
    ABI
  8. Untitled

    Other1 citations
    ABI
  9. Untitled

    Other1 citations
    ABI
  10. Untitled

    Other1 citations
    ABI
  11. Untitled

    Other1 citations
    ABI
  12. Untitled

    Other1 citations
    ABI
  13. Untitled

    Other1 citations
    ABI
  14. Untitled

    Other1 citations
    ABI
  15. Untitled

    Other1 citations
    ABI
  16. Untitled

    Other1 citations
    ABI
  17. Untitled

    Other1 citations
    ABI