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dc.contributor.advisorShaaban, Mostafa
dc.contributor.authorKhayata, Mohammad Tarek
dc.date.accessioned2017-06-13T07:34:27Z
dc.date.available2017-06-13T07:34:27Z
dc.date.issued2017-04
dc.identifier.other35.232-2017.17
dc.identifier.urihttp://hdl.handle.net/11073/8870
dc.descriptionA Master of Science thesis in Electrical Engineering by Mohammad Tarek Khayata entitled, "Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids," submitted in April 2017. Thesis advisor is Dr. Mostafa Shaaban. Soft and hard copy available.en_US
dc.description.sponsorshipCollege of Engineeringen_US
dc.description.sponsorshipDepartment of Electrical Engineeringen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesMaster of Science in Electrical Engineering (MSEE)en_US
dc.subjectdistributed generationen_US
dc.subjectgenetic algorithmsen_US
dc.subjectprobability density functionen_US
dc.subjectrenewable resourcesen_US
dc.subjectsmart gridsen_US
dc.titleAccommodating High Penetrations of Renewable Distributed Generation Mix in Smart Gridsen_US
dc.typeThesisen_US


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