Photovoltaic Power Prediction with Optimized Transformer Integrating Pyramid Attention Module and Temporal Convolutional Network

Accurate photovoltaic power prediction is crucial for enhancing grid stability and improving energy utilization efficiency. To address the limitations of existing methods, which struggle to simultaneously consider both long-term dependencies and short-term variation patterns of photovoltaic power, t...

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Bibliographic Details

Main Author:	ZHANG Hong, LI Feng, MA Yanhong, JI Wenxuan, ZHENG Qipeng
Format:	Artigo
Language:	Inglês
Published:	Editorial Office of Computer Engineering 2025-10-01
Series:	Jisuanji gongcheng
Subjects:	photovoltaic power prediction|transformer model|pyramidal attention module (pam)|binding mechanism|temporal convolutional network (tcn
Online Access:	https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-10-140.pdf
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