Deep Learning-Based Energy Consumption Prediction Model for Green Industrial Parks
Enhancing the accuracy of industrial building energy consumption forecasts is beneficial for improving energy management and addressing the imbalance between supply and demand in building electricity use. To overcome the limitations of existing energy consumption forecasting methods, which inadequat...
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| Main Authors: | Chaoan Lai, Yina Wang, Jianhua Zhu, Xuequan Zhou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2462375 |
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