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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v9i7.13629</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Exploration of AI Fully Automatic Warehouse Adjustment Technology for Distribution Network Automation</title><url>https://artdesignp.com/journal/JERA/9/7/10.26689/jera.v9i7.13629</url><author>ZhouYaocan</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>7</issue><history><date date-type="pub"><published-time>2025-12-31</published-time></date></history><abstract>This article investigates AI-based fully automated warehouse adjustment technology for distribution network automation. It first introduces the topology of the distribution network and its protection and control equipment, followed by an analysis of existing challenges. The study then elaborates on key methods, including the construction of a multi-dimensional collaborative data analysis framework and an adaptive protection parameter tuning model. In addition, it proposes solutions based on the edge computing layer of an intelligent warehouse dispatch system. Experimental results and practical applications demonstrate the technical advantages of the proposed approach, and the future development prospects of related technologies are discussed.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Zhao X, 2021, Research and Application of Fault Handling Technology Based on Distribution Network Automation, thesis, Hebei University of Science and Technology.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Chen Z, 2021, Study on Application Scheme of Distribution Network Automation in Zhaoqing Region, thesis, Guangdong University of Technology.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Li B, 2021, Design and Implementation of Distribution Network Automation System for a County Power Supply Company, thesis, North University of China.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Xu H, 2022, Research and Analysis on Reliability of Regional Distribution Network Automation, thesis, South China University of Technology.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Wang Y, 2022, Case Study on Project Schedule Management for Distribution Network Automation Construction at K Power Supply Company, thesis, Dalian University of Technology.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Chen Q, 2023, Application of Distribution Network Automation Technology in Distribution Network Operation and Maintenance. 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