Jiying Liu

3 та иш

School of Thermal Engineering, Shandong Jianzhu University, Jinan 250101, 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

   МақолаBuilding Energy and Comfort OptimizationEnergy Reports20250 иқтибос

   ABIABI:AkademIndex/openalex/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

   ПрепринтEnergy Load and Power ForecastingSSRN Electronic Journal20250 иқтибос

   ABIABI:AkademIndex/openalex/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

   ПрепринтConservation Techniques and StudiesSSRN Electronic Journal20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.preprint.000135