TechnoEconomic Environmental and Social MultiObjective Optimization of a GridConnected Hybrid Renewable Energy System Using Metaheuristic Algorithms

Simple item page
dc.article.end-page164882en
dc.article.start-page164859en
dc.citation.doi10.1109/ACCESS.2025.3612294en
dc.contributor.authorDhruti Dhedaen
dc.contributor.authorJandre Albertynen
dc.contributor.authorKayode Adetunjien
dc.contributor.authorZHENQING LIUen
dc.contributor.authorA ABU-MAHFOUZen
dc.contributor.authorLing Chengen
dc.date.accessioned2025-11-10T09:22:34Z
dc.facultyFACULTY OF ENGINEERING & THE BUILT ENVIRONMENTen
dc.identifier.citationWOSen
dc.identifier.issn2169-3536en
dc.identifier.urihttps://hdl.handle.net/10539/47473
dc.journal.titleTechnoEconomic Environmental and Social MultiObjective Optimization of a GridConnected Hybrid Renewable Energy System Using Metaheuristic Algorithmsen
dc.journal.volume13en
dc.school3.05en
dc.titleTechnoEconomic Environmental and Social MultiObjective Optimization of a GridConnected Hybrid Renewable Energy System Using Metaheuristic Algorithmsen
dc.typeJournal Articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Journal Article.pdf
Size:
2.24 MB
Format:
Adobe Portable Document Format
Description:
Bitstream uploaded by REST Client
Download

Collections

Academic Wits Research Outputs (All submissions)