<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-GJN3H8AN</identifier><date>2018</date><creator>Gašpar, Jan</creator><creator>Kodrič, Domen</creator><creator>Podobnik, Gašper</creator><creator>Žukovec, Martin</creator><relation>documents/doc/G/URN_NBN_SI_doc-GJN3H8AN_001.pdf</relation><relation>documents/doc/G/URN_NBN_SI_doc-GJN3H8AN_001.txt</relation><format format_type="type">article</format><format format_type="extent">Str. 249-252</format><identifier identifier_type="COBISSID_HOST">12180564</identifier><identifier identifier_type="ISSN">2591-0442</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-GJN3H8AN</identifier><language>eng</language><publisher>Društvo Slovenska sekcija IEEE</publisher><source>Zbornik mednarodne Elektrotehniške in računalniške konference</source><rights>InC</rights><subject language_type_id="eng">electrical energy</subject><subject language_type_id="eng">electrical energy consumption</subject><subject language_type_id="slv">električna energija</subject><subject language_type_id="eng">forecasting</subject><subject language_type_id="eng">machine learning</subject><subject language_type_id="slv">napoved</subject><subject language_type_id="eng">neural networks</subject><subject language_type_id="slv">nevronske mreže</subject><subject language_type_id="slv">poraba električne energije</subject><subject language_type_id="slv">strojno učenje</subject><title>an approach using consumption data subsets</title><title>Artificial neural networks based short-term forecasting of daily electrical energy consumption</title></Record>