<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-EE9EDOCS</identifier><date>2025</date><creator>Hu, Yuyang</creator><relation>documents/doc/E/URN_NBN_SI_doc-EE9EDOCS_001.pdf</relation><relation>documents/doc/E/URN_NBN_SI_doc-EE9EDOCS_001.txt</relation><format format_type="volume">49</format><format format_type="issue">6</format><format format_type="type">article</format><format format_type="extent">str. 71-86</format><identifier identifier_type="DOI">10.31449/inf.v49i6.6940</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">233429507</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-EE9EDOCS</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">električno omrežje</subject><subject language_type_id="slv">elektroenergetski sistem</subject><subject language_type_id="slv">stabilnost</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">veterna energija</subject><title>Wind power prediction and dynamic economic dispatch strategy optimization based on BST-RGOA and NDO-WOA</title></Record>