Nuodi Fu

Eng koʻp iqtibos qilingan asarlar

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 building20250 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. 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
4. 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
5. Dynamic Energy Demand Forecasting in a Norwegian Commercial Store Using Local Building Time-Series Data: CNN-LSTM and Transformer Architectures Compared20260 iqtibos

Hammualliflar

1. Moon Keun Kim5 ta umumiy asar2025–2026
2. Sanghyuk Lee4 ta umumiy asar2025–2026
3. Jiying Liu3 ta umumiy asar2025
4. Jelena Srebric2 ta umumiy asar2025
5. Yang‐Seon Kim2 ta umumiy asar2025
6. Junqi Wang2 ta umumiy asar2025
7. Jaehee Lee2 ta umumiy asar2025
8. Jiying Liu1 ta umumiy asar2026
9. 이재희1 ta umumiy asar2026
10. Mehrdad Rabani1 ta umumiy asar2026

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