Research on automatic scheduling method of power demand response service based on cloud edge end collaboration

Addressing delays and slow response in traditional power dispatch, this study proposes cloud-edge collaboration for optimized resource allocation and improved demand response. It builds a collaboration framework, uses edge nodes for preprocessing, and employs cloud-based big data and algorithms for dispatch. Results show improved real-time response and accuracy, easing peak supply-demand issues and promoting energy efficiency.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/sgei63936.2024.10914084
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
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article

Research on automatic scheduling method of power demand response service based on cloud edge end collaboration

Weinian Ouyang, Xiancheng Zeng, Yanting Zhu, Gaoming Li et al.
Power Systems and Technologies
article

Research on automatic scheduling method of power demand response service based on cloud edge end collaboration

Weinian Ouyang, Xiancheng Zeng, Yanting Zhu, Gaoming Li, Wenjun Zhang
article en

Abstract

Addressing delays and slow response in traditional power dispatch, this study proposes cloud-edge collaboration for optimized resource allocation and improved demand response. It builds a collaboration framework, uses edge nodes for preprocessing, and employs cloud-based big data and algorithms for dispatch. Results show improved real-time response and accuracy, easing peak supply-demand issues and promoting energy efficiency.

China Southern Power Grid (China) (CN)
Openalex Percentile: Top 74%
Power Systems and Technologies
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Research on automatic scheduling method of power demand response service based on cloud edge end collaboration — Weinian Ouyang, Xiancheng Zeng, et al. · (2024) | TGRS Research Map | TGRS