Mathematical Programming Based Short Term Load Forecasting Algorithm, Case Study: Turkey 2010
Yükleniyor...
Dosyalar
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Trans Tech Publications Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Short-term load forecasting (STLF) is an important problem in the operation of electrical power generation and transmission. In this paper, STLF algorithm was developed for electrical power systems using,mathematical programming with Matlab. A fast and efficient computational algorithm has been obtained for STLF. The mean absolute percentage errors (MAPE) of daily loads forecast and weekly loads forecast for Turkey are found as 1,76%, 1,92%, respectively.
Açıklama
International Conference on Materials Science and Information Technology (MSIT 2011) -- SEP 16-18, 2011 -- Singapore, SINGAPORE
Anahtar Kelimeler
short-term load forecasting, mathematical programming, power system planning
Kaynak
Materials Science and Information Technology, Pts 1-8
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
433-440
Sayı
Künye
Cetinkaya, N., (2012). Mathematical Programming Based Short Term Load Forecasting Algorithm, Case Study: Turkey 2010. Advanced Materials Research, (433-440), 3934-3938. Doi:10.4028/www.scientific.net/AMR.433-440.3934