Junqi Wang

2 ta ish

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

   MaqolaBuilding Energy and Comfort OptimizationEnergy Reports20250 iqtibos

   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

   PreprintEnergy Load and Power ForecastingSSRN Electronic Journal20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.preprint.000068