Wind Speed Modeling under the Assumption of the Weibull distribution
Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Wind power economy is considered to be and has become a very promising hope for the clean energy in the future. People tend to find the correct model under proper assumption to describe the attributes of wind speed at a certain location. In this paper, I try to explore the relation between horizontal wind speed and the corresponding height, using the data measured by a SODAR device, the AQS system and obtained from the day 17th Nov 2009 to 10th Jan 2010. Quadratic and cubic functions are chosen to fit the data and the model estimation will be under the assumption of the Normal or Weibull distribution. All the coefficient estimation of the model calculated by MLE or GLM method will be compared by Bootstrap t-test. In the end, I will use the Chi-square test to find which distribution fits the data better.
Place, publisher, year, edition, pages
2010. , 36 p.
Wind Speed Weibull distribution Bootstrap t-test GLM model
IdentifiersURN: urn:nbn:se:uu:diva-126676OAI: oai:DiVA.org:uu-126676DiVA: diva2:326053
UppsokSocial and Behavioural Science, Law