<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-JRMXRSYV</identifier><date>2025</date><creator>Zhang, Jieqiong</creator><relation>documents/doc/J/URN_NBN_SI_doc-JRMXRSYV_001.pdf</relation><relation>documents/doc/J/URN_NBN_SI_doc-JRMXRSYV_001.txt</relation><format format_type="issue">10</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 113-126</format><identifier identifier_type="DOI">10.31449/inf.v49i10.7264</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">239428867</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-JRMXRSYV</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">algoritem EGES</subject><subject language_type_id="slv">elektrarne</subject><subject language_type_id="slv">električna omrežja</subject><subject language_type_id="slv">energetski sistemi</subject><subject language_type_id="slv">optimizacija</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">zanesljivost</subject><title>Optimizing the analysis of energy plants and high-power applications utilizing the energy guard ensemble selector (EGES)</title></Record>