<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-NPA1INWC</identifier><date>2025</date><creator>Huang, Qingjiang</creator><relation>documents/doc/N/URN_NBN_SI_doc-NPA1INWC_001.pdf</relation><relation>documents/doc/N/URN_NBN_SI_doc-NPA1INWC_001.txt</relation><format format_type="volume">49</format><format format_type="issue">9</format><format format_type="type">article</format><format format_type="extent">str. 123-134</format><identifier identifier_type="DOI">10.31449/inf.v49i9.5584</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">238059011</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-NPA1INWC</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">inteligentna distribucijska omrežja</subject><subject language_type_id="slv">razvrščanje</subject><subject language_type_id="slv">učinkovitost</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">veliko podatki</subject><title>Intelligent distribution network operation and anomaly detection based on information technology</title></Record>