A distributed photovoltaic short‐term power forecasting model based on lightweight AI for edge computing in low‐voltage distribution network

A distributed photovoltaic short‐term power forecasting model based on lightweight AI for edge computing in low‐voltage distribution network

Abstract Recent years, the tremendous number of distributed photovoltaic are integrated into low‐voltage distribution network, generating a significant amount of operational data. The centralized cloud data centre is unable to process the massive data precisely and promptly. Therefore, the operation...

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Bibliographic Details
Main Authors: Yuanliang Fan, Han Wu, Jianli Lin, Zewen Li, Lingfei Li, Xinghua Huang, Weiming Chen, Jian Zhao
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Renewable Power Generation
Subjects:
artificial intelligence
distributed control
distribution networks
Online Access:https://doi.org/10.1049/rpg2.13093
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https://doi.org/10.1049/rpg2.13093

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