<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-QREOLADV</identifier><date>2022</date><creator>Makovec, Martin</creator><relation>documents/doc/Q/URN_NBN_SI_doc-QREOLADV_001.pdf</relation><relation>documents/doc/Q/URN_NBN_SI_doc-QREOLADV_001.txt</relation><format format_type="type">article</format><format format_type="extent">Str. 498-501</format><identifier identifier_type="COBISSID_HOST">122128643</identifier><identifier identifier_type="ISSN">2591-0442</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-QREOLADV</identifier><language>eng</language><publisher publisher_location="Ljubljana">Fakulteta za elektrotehniko</publisher><publisher publisher_location="Ljubljana">Slovenska sekcija IEEE</publisher><source>Zbornik mednarodne Elektrotehniške in računalniške konference</source><rights>InC</rights><subject language_type_id="slv">energija</subject><subject language_type_id="eng">energy</subject><subject language_type_id="eng">forecast</subject><subject language_type_id="eng">machine learning</subject><subject language_type_id="slv">napoved</subject><subject language_type_id="slv">strojno učenje</subject><title>Features and models for short-term household energy consumption forecast</title></Record>