A meta-learning-based short-term holiday system load forecasting method

Lei Zhou

doi:10.1016/j.egyr.2026.109517

A meta-learning-based short-term holiday system load forecasting method

2026-07-13

0

OA

AI

L

Lei Zhou

J

Jingqi Li

G

Guohua Hu *

Y

Ying Zhen

L

Linxiao Yang

X

Xiaoran Dai

M

Mengqi Jia

L

Li Zhou

DOI：10.1016/j.egyr.2026.109517

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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

A meta-learning-based short-term holiday system load forecasting method

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