Nuodi Fu

5 ta ish

Xi’an Jiaotong-Liverpool University

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

   MaqolaOAOchiq kirishBuilding Energy and Comfort OptimizationEnergy Reports20250 iqtibos

   ABIABI:AkademIndex/2025.article.000191

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

   PreprintEnergy Load and Power ForecastingSSRN Electronic Journal20250 iqtibos

   ABIABI:AkademIndex/2025.preprint.000068

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

   PreprintOAOchiq kirishConservation Techniques and StudiesSSRN Electronic Journal20250 iqtibos

   ABIABI:AkademIndex/2025.preprint.000135

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

   PreprintOAOchiq kirishConservation Techniques and StudiesSSRN Electronic Journal20250 iqtibos

   ABIABI:AkademIndex/2025.preprint.000244

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

   PreprintOAOchiq kirishEnergy Load and Power ForecastingSSRN Electronic Journal20260 iqtibos

   ABIABI:AkademIndex/2026.preprint.000113