1. FUTMinna Institutional Repository
  2. Theses and Dissertations
  3. PhD theses and dissertations
Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/25155
Full metadata record
DC FieldValueLanguage
dc.contributor.authorOLUBUSADE, JOSEPH EYITAYO-
dc.date.accessioned2024-01-10T15:03:19Z-
dc.date.available2024-01-10T15:03:19Z-
dc.date.issued2023-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/25155-
dc.language.isoenen_US
dc.titleDEVELOPMENT OF ARTIFICIAL NEURAL NETWORK-BASED MODEL FOR ASSESSMENT OF SOLAR ENERGY RESOURCES AND IMPLEMENTATION OF OFF-GRID SOLAR POWER SYSTEMen_US
dc.typeThesisen_US
Appears in Collections:PhD theses and dissertations

Files in This Item:
File Description SizeFormat 
project.pdf2.67 MBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.