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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/accc/AlmasriS21>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ammar_Almasri>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Diaa_Salman>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FACCC54619.2021.00013>
foaf:homepage <https://doi.org/10.1109/ACCC54619.2021.00013>
dc:identifier DBLP conf/accc/AlmasriS21 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FACCC54619.2021.00013 (xsd:string)
dcterms:issued 2021 (xsd:gYear)
rdfs:label Using Machine Learning Techniques To Plan A Fully Renewable Energy Systems By The End of 2050: Empirical Evidence From Jerusalem District Electricity Company. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ammar_Almasri>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Diaa_Salman>
swrc:pages 39-44 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/accc/2021>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/accc/AlmasriS21/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/accc/AlmasriS21>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/accc/accc2021.html#AlmasriS21>
rdfs:seeAlso <https://doi.org/10.1109/ACCC54619.2021.00013>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/accc>
dc:title Using Machine Learning Techniques To Plan A Fully Renewable Energy Systems By The End of 2050: Empirical Evidence From Jerusalem District Electricity Company. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document