Short-Term Load Forecasting Using Artificial Neural Network Technique

HUSSAIN, AL HUSSAIN MUHAMMAD AL HASSAN AL; DAFALLA, DAFALLA ELRASHEED ELGAILY; ABAAS, OSAAMA ABAAS MUHAMMAD; IDRIS, SHAIKH IDRIS JAMAL ALDEEN AL SHAIKH; Supervisor-, Mohammad Osman Hassan

dc.contributor.author	HUSSAIN, AL HUSSAIN MUHAMMAD AL HASSAN AL
dc.contributor.author	DAFALLA, DAFALLA ELRASHEED ELGAILY
dc.contributor.author	ABAAS, OSAAMA ABAAS MUHAMMAD
dc.contributor.author	IDRIS, SHAIKH IDRIS JAMAL ALDEEN AL SHAIKH
dc.contributor.author	Supervisor-, Mohammad Osman Hassan
dc.date.accessioned	2017-12-10T07:21:23Z
dc.date.available	2017-12-10T07:21:23Z
dc.date.issued	2017-10-01
dc.identifier.citation	HUSSAIN, AL HUSSAIN MUHAMMAD AL HASSAN AL .Short-Term Load Forecasting Using Artificial Neural Network Technique/AL HUSSAIN MUHAMMAD AL HASSAN AL HUSSAIN...{etal};Mohammad Osman Hassan.-Khartoum: Sudan University of Science and Technology , College of Engineering , 2017.-56 p. :ill;28cm.- Bachelors search.	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/19306
dc.description	Bachelors search	en_US
dc.description.abstract	This project focused on short-term load forecasting [STLF] in power system operations. Load forecasting is future demand prediction, which assumes an essential part ofpower system management. Short term load forecasting [STLF] provides load predictionhelps in generation scheduling, maintenance, and unit commitment decisions. Therefore, [STLF] plays significant role in power system planning, and the performance of the economic system. This project deal with most power ful Artificial Intelligent [AI] whichis Artificial Neural Network [ANN], ANN model designed and compared with one of the statistical methods, which is time series model. MATLAB SIMULINK software is used to accomplish ANN model.This model used Multilayer Feed Forward ANN using MatlabR2016b NN-Tool is trained and examined using data of period from (1/7/2014 to 31/7/2014) . At the end, both methods shows that the STLF using artificial neural network [ANN] more accuratethan the statistical technique	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	Neural Network	en_US
dc.subject	Artificial Neural Network	en_US
dc.subject	Short-Term Load Forecasting	en_US
dc.title	Short-Term Load Forecasting Using Artificial Neural Network Technique	en_US
dc.title.alternative	التنبؤ بالأحمال قصيرة المدى باستخدام تقنية الشبكات العصبية الاصطناعية	en_US
dc.type	Thesis	en_US