Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/15695
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dc.contributor.authorOsman, Ehab Elsaied Elyas-
dc.contributor.authorIbrahim, Atif Abd alwahid-
dc.contributor.authorEltayib, Fatima Mohmmed-
dc.contributor.authorShareef, Mugahid Shareef Abdalla-
dc.contributor.authorSupervisor, Gedani Osman adlan--
dc.date.accessioned2017-03-07T13:40:31Z-
dc.date.available2017-03-07T13:40:31Z-
dc.date.issued2016-10-01-
dc.identifier.citationOsman, Ehab Elsaied Elyas.Long Term Load Forecasting/Ehab Elsaied Elyas Osman...{etal};Gedani Osman adlan.-Khartoum: Sudan University of Science and Technology , College of Engineering , 2016.-57p. :ill;28cm.- Bachelors searchen_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/15695-
dc.descriptionBachelors searchen_US
dc.description.abstractStudy predict the loads associated with the planning and operation of the network of national electricity helps to predict the short term in the process of operation and long term predictability in the process of planning. From all this importance of forecasting appeared to estimate the electrical demand, In future the planning and to give inaccurate indicator for the electrical demand upon the cretin period, This study focus upend the peak load forecasting for an eleven year (2014/2025) which is a long term to forecast also it discuss the available methods to estimate forecasting and use the best method of them which helps in create perfect operation environment.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectTerm Loaden_US
dc.subjectLong Term Load Forecastingen_US
dc.titleLong Term Load Forecastingen_US
dc.title.alternativeالتنبؤ بالأحمال الكهربائية على المدى الطويلen_US
dc.typeThesisen_US
Appears in Collections:Bachelor of Engineering

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