Distribusi Weibull Vs Distribusi Rayleigh Pada Pemodelan Kecepatan Angin
Abstract
Full Text:
PDFReferences
Mathew, Sathyajith. “Wind Energy Fundamentals, Resource Analysis, and Economics”,Springer-Verlag Berlin Heidelberg, Belanda. 2006.
Wang, John Wenyu dan Elisa T. Lee. “Statistical Methods for Survival DataAnalysis edisi 3”. John Wiley and Sons, Inc. 2001.
Olaofe, Z.O,Folly,K.A.“Statistical Analisis of the Wind Resources at Darling for Energy Production”.International Journal of Renewable EnergyResearch, Vol. 2 No. 2. 2012.
Widiyanto, Wahyu.“Analysis Probabilitas Kecepatan Angin untuk Pesisir Cilacap dengan menerapkan Distribusi Weibull dan Rayleigh”. Jurnal Teknik Sipil,Sains dan Teknologi, Vol. 9 No 1. 2013.
Syarifah, dkk. “Pemodelan Kecepatan Angin Rata-rata di Sumenep Menggunakan Mixture Of Anfis”. Jurnal Statistika, Vol. 1 No. 2. 2013.
Muhammad, dkk. “Statistik Analisis Potensi Kecepatan Angin Roof Top Gedung Sala View Hotel Menggunakan Metode Weibull dan metode Rayleigh”, Vol. 13 No. 2.2015.
Dey S, Dey T, Kundu D. “Two-parameter rayleigh distribution: Different methods of estimation”.Am. J. Math. Manag.Sci.33(1): 55-74.2014.
Siddiqui MM. “Some problems connected with rayleigh distributions”. Journal of Research of the National Bureau of Standards, Boulder Laboratories, Colo. 66D, No. 2, March-April 1962: 167-174. 1961.
Parajuli, Ayush. “A Statistical Analysis of Wind Speed and Power Density based on Weibull and Rayleigh Models of Jumla, Nepal”. Energy and Power Enginering,Nepal. 2016.
Krishnamoorthy,K. “Handbook of Statistical Distributions with Applications”, Statistical Pape, Springer, Vol. 51 (4): 1005-1006, 2006
Refbacks
- There are currently no refbacks.
FAKULTAS SAINS DAN TEKNOLOGI
UIN SUSKA RIAU
Kampus Raja Ali Haji
Gedung Fakultas Sains & Teknologi UIN Suska Riau
Jl.H.R.Soebrantas No.155 KM 18 Simpang Baru Panam, Pekanbaru 28293
Email: sntiki@uin-suska.ac.id