Shandong Jianzhu University

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. Circular intuitionistic fuzzy Sugeno–Weber aggregation with a maximizing deviation model for multi-criteria decision analysis20260 iqtibos
6. Development and Evaluation of an Integrated Web-Based Admissions System to Support School Administrative Services20260 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