Forecasting very short-term power load with hybrid interpretable deep models
Very Short-Term power Load Forecasting (VSTLF) plays a key role in electricity planning and operational transactions. However, with the growing complexity and uncertainty of today’s electricity requirements, e.g. nonlinear correlations across electricity factors, unpredictable wavy trends and sudden...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Systems Science & Control Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2025.2486136 |
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