Edge Computing Resource Optimal Dispatch in Distribution Network Considering the Power Tasks Uncertainty-Reference-Cited by-同舟云学术

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Edge Computing Resource Optimal Dispatch in Distribution Network Considering the Power Tasks Uncertainty

Published:2024-05-17 Issue: Volume:42 Page:599-605
ISSN:
Container-title:2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET)
language:
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Author:

Cai Tiantian¹,Chen Junjian¹,Li Junye¹,Liang Xuran²,Li Xiaohua²,Cai Zexiang²,Hu Ming²,Yang Bin¹

Affiliation:

1. Power Grid Research Institute Co., Ltd.,Technology R&D Center China Southern Power Grid Digital,Guangzhou,China

2. South China University of Technology,School of Electric Power Engineering,Guangzhou,China

Funder

China Southern Power Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625771/10625773/10625943.pdf?arnumber=10625943

Reference10 articles.

1. Power Ecosystem Operation Based on Cloud-edge Collaboration: Theoretical Framework;PENG

2. Cyber Physical System of Active Distribution Network Based on Edge Computing;GONG;Power System Technology,2018

3. Prospect of New Low-voltage Distribution System Technology Driven by Carbon Emission Peak and Carbon Neutrality Targets;ZHANG;Automation of Electric Power Systems,2022

4. Collaborative Scheduling of Computing Power Network Resources: Exploration and Application;PENG;ZTE Communications,2023

5. Research on Edge Resource Scheduling Solutions for Computing Power Network;Mingxuan;Frontiers of Data and Computing,2020

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