Time-division prediction method for peak power of distributed new energy access power grid based on ARIMA–RBF

Abstract Distributed new energy generation is influenced by various factors, resulting in high volatility and uncertainty. To enhance control, promote renewable energy consumption, and balance power supply and demand, an ARIMA–RBF-based method is proposed for predicting peak power of distributed new...

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Bibliographic Details
Main Authors: Yangrui Zhang, Junpeng Zhao, Chao Zhang, Bingyu Zhang, Xiaoyu Liu, Shaokang Feng
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Sustainable Energy Research
Subjects:
Online Access:https://doi.org/10.1186/s40807-025-00171-1
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