Jelena Srebric

5 ta ish

University of Maryland, College Park

1. Impact of occupancy rates on the building electricity consumption in commercial buildings

   Yang‐Seon Kim, Jelena Srebric

   MaqolaOAOchiq kirish20162 iqtibos

   ABIABI:AkademIndex/2026.other.126910

2. A data-driven state-space model of indoor thermal sensation using occupant feedback for low-energy buildings

   Xiao Chen, Qian Wang, Jelena Srebric

   Maqola20152 iqtibos

   ABIABI:AkademIndex/2026.other.695398

3. Simplified Numerical Models for Complex Air Supply Diffusers

   Jelena Srebric, Qingyan Chen

   MaqolaWind and Air Flow StudiesHVAC&R Research20020 iqtibos

   ABIABI:AkademIndex/2002.article.000004

4. 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

5. 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