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Nuodi Fu

Работ: 5

School of Architecture, Southeast University, 2 Sipailou, Nanjing 210096, China

  1. Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building

    Moon Keun Kim, Yang‐Seon Kim, Nuodi Fu +4

    СтатьяBuilding Energy and Comfort OptimizationEnergy Reports2025Цитирований: 0
    ABI

  2. Advanced Techniques for Electricity Consumption Prediction in Buildings Using Comparative Correlation Analysis, Data Normalization, and Long Short-Term Memory (Lstm) Networks: A Case Study of a U.S. Commercial Building

    Moon Keun Kim, Yang‐Seon Kim, Nuodi Fu +4

    ПрепринтEnergy Load and Power ForecastingSSRN Electronic Journal2025Цитирований: 0
    ABI

  3. 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

    Nuodi Fu, Jaehee Lee, Jiying Liu +2

    ПрепринтConservation Techniques and StudiesSSRN Electronic Journal2025Цитирований: 0
    ABI

  4. Energy Demand Forecasting for Cultural Institutions: Comparative Analysis of ANNs, Ordinary LSTM, and Hybrid CNN-LSTM Models with Three Normalization Techniques Using Weather and Price Data – Case Studies from Norwegian Museums

    Nuodi Fu, Jaehee Lee, Moon Keun Kim +2

    ПрепринтConservation Techniques and StudiesSSRN Electronic Journal2025Цитирований: 0
    ABI

  5. Dynamic Energy Demand Forecasting in a Norwegian Commercial Store Using Local Building Time-Series Data: CNN-LSTM and Transformer Architectures Compared

    이재희, Nuodi Fu, Moon Keun Kim +3

    ПрепринтEnergy Load and Power ForecastingSSRN Electronic Journal2026Цитирований: 0
    ABI