Long Term Load Forecasting

Osman, Ehab Elsaied Elyas; Ibrahim, Atif Abd alwahid; Eltayib, Fatima Mohmmed; Shareef, Mugahid Shareef Abdalla; Supervisor, Gedani Osman adlan-

dc.contributor.author	Osman, Ehab Elsaied Elyas
dc.contributor.author	Ibrahim, Atif Abd alwahid
dc.contributor.author	Eltayib, Fatima Mohmmed
dc.contributor.author	Shareef, Mugahid Shareef Abdalla
dc.contributor.author	Supervisor, Gedani Osman adlan-
dc.date.accessioned	2017-03-07T13:40:31Z
dc.date.available	2017-03-07T13:40:31Z
dc.date.issued	2016-10-01
dc.identifier.citation	Osman, 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 search	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/15695
dc.description	Bachelors search	en_US
dc.description.abstract	Study 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.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	Term Load	en_US
dc.subject	Long Term Load Forecasting	en_US
dc.title	Long Term Load Forecasting	en_US
dc.title.alternative	التنبؤ بالأحمال الكهربائية على المدى الطويل	en_US
dc.type	Thesis	en_US