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A meta-learning-based short-term holiday system load forecasting method
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DOI：10.1016/j.egyr.2026.109517.png)
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Abstract
En 中文
• Factor-decoupling model isolates holiday load trends, structure, and weather. • Knowledge transfers via 3-stage meta-learning to address data scarcity. • Meta-learning is applied to holiday forecasting through few-shot cross-holiday tasks.
Keywords:
Holiday load forecasting
Meta-learning
Few-shot learning
Factor decoupling
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5.1
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