Optimization method of power grid material warehousing and allocation based on multi-level storage system and reinforcement learning-Reference-Cited by-同舟云学术

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Optimization method of power grid material warehousing and allocation based on multi-level storage system and reinforcement learning

Published:2023-08 Issue: Volume:109 Page:108771
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Dai Zhou,Xie Peng,Huang Yingmin,Cheng Guixian^ORCID,Tang Wuqin,Zou Kemin,Duan Ningjun,Zou Lianming,Ning Jun,Lian Jin,Yang Nan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference21 articles.

1. Ideas of power equipment quality management;Yang;Guangdong Electric Power,2011

2. Planning and research on intensive storage and distribution management system of large power grid companies;Yang,2011

3. Research on optimization of power grid logistics operation based on supply chain management;Li,2012

4. Construction and application of unified identity coding information system for power grid assets;Chen;Power Inf Commun Echnol,2018

5. Online power grid emergency material demand forecasting model in typhoon disaster based on relevance vector machine;Pan,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-objective particle swarm optimization for optimal scheduling of household microgrids;Frontiers in Energy Research;2024-01-16

2. Electricity–gas multi-agent planning method considering users’ comprehensive energy consumption behavior;Frontiers in Energy Research;2024-01-10

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