<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-QNXBDH8X</identifier><date>2025</date><creator>Gao, Yueda</creator><creator>Zhang, Yong</creator><creator>Zhao, Zhe</creator><relation>documents/doc/Q/URN_NBN_SI_doc-QNXBDH8X_001.pdf</relation><relation>documents/doc/Q/URN_NBN_SI_doc-QNXBDH8X_001.txt</relation><format format_type="volume">49</format><format format_type="issue">7</format><format format_type="type">article</format><format format_type="extent">str. 157-163</format><identifier identifier_type="DOI">10.31449/inf.v49i7.7037</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">236772611</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-QNXBDH8X</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">dvosmerne LSTM nevronske mreže</subject><subject language_type_id="slv">konvolucijske nevronske mreže</subject><subject language_type_id="slv">pametna omrežja</subject><subject language_type_id="slv">raba električne energije</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Research on operation and anomaly detection of smart power grid based on information technology using CNN+bidirectional LSTM</title></Record>