An adaptive multi-scale attention-based framework for robust energy and resource forecasting across heterogeneous datasets
Accurate time series forecasting is crucial for energy management and resource allocation, aligning with the United Nations Sustainable Development Goals (SDGs) for affordable and clean energy (SDG 7). However, dataset complexity and heterogeneity challenge existing models, such as Principal Compone...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671125001779 |
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