Yang‐Seon Kim

Работ: 2

Mechanical Engineering Department, College of Engineering, Wichita State University, Wichita, KS 67260, USA

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

   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 Journal2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.preprint.000068