Metropolitan University

Eng koʻp iqtibos qilingan asarlar

1. Field Notes on Repair: 120240 iqtibos
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 building20250 iqtibos
3. Assessment of the influence of external dynamic factors on force loading of anchor bandage of traction electric motors20250 iqtibos
4. Modeling of the transportation process on the Kokand-Andijan section of the Kokand regional railway track junction of the Uzbek railway20250 iqtibos
5. 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 Museums20250 iqtibos
6. 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 Museums20250 iqtibos
7. Dynamic Energy Demand Forecasting in a Norwegian Commercial Store Using Local Building Time-Series Data: CNN-LSTM and Transformer Architectures Compared20260 iqtibos
8. 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 Norway20260 iqtibos