Moon Keun Kim

7 ta ish

OsloMet – Oslo Metropolitan University

1. Predicting electricity consumption in a building using an optimized back-propagation and Levenberg–Marquardt back-propagation neural network: Case study of a shopping mall in China

   Zhaoyang Ye, Moon Keun Kim

   Maqola20182 iqtibos

   ABIABI:AkademIndex/2026.other.126911

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

   MaqolaOAOchiq kirishBuilding Energy and Comfort OptimizationEnergy Reports20250 iqtibos

   ABIABI:AkademIndex/2025.article.000191

3. 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

4. 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

5. 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

6. 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

7. A Systematic Review of Comparative Analysis of Machine Learning Models for Predicting Heating Demand and Electricity Usage with Weather Data in Buildings: Two Case Studies in Norway

   Jørgen Norø Sørensen, Jiying Liu, Moon Keun Kim +1

   PreprintOAOchiq kirishBuilding Energy and Comfort OptimizationSSRN Electronic Journal20260 iqtibos

   ABIABI:AkademIndex/2026.preprint.000167