<?xml version="1.0"?>
<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>A Machine Learning Application for the Energy Flexibility Assessment of a Distribution Network for Consumers</dc:title><dc:creator>Rober,	Jaka	(Avtor)
	</dc:creator><dc:creator>Maruša,	Leon	(Avtor)
	</dc:creator><dc:creator>Beković,	Miloš	(Avtor)
	</dc:creator><dc:subject>flexibility</dc:subject><dc:subject>baseline</dc:subject><dc:subject>demand response</dc:subject><dc:subject>distribution transformer</dc:subject><dc:subject>congestion management</dc:subject><dc:subject>power flow control</dc:subject><dc:subject>peak shaving</dc:subject><dc:subject>load shifting</dc:subject><dc:subject>predictive models</dc:subject><dc:subject>machine learning</dc:subject><dc:publisher>MDPI</dc:publisher><dc:date>2023</dc:date><dc:date>2024-01-05 10:06:18</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>86661</dc:identifier><dc:identifier>UDK: 621.31</dc:identifier><dc:identifier>COBISS_ID: 162461955</dc:identifier><dc:identifier>DOI: 10.3390/en16176168</dc:identifier><dc:identifier>ISSN pri članku: 1996-1073</dc:identifier><dc:language>sl</dc:language></metadata>
