RECENT ADVANCES IN MODELLING DIFFUSE RADIATION
Boland et al (2001) developed a validated model for Australian conditions, using a logistic function instead of piecewise linear or simple nonlinear functions. Recently, Jacovides et al (2006) have verified that this model performs well for locations in Cyprus. Their analysis includes using moving average techniques to demonstrate the form of the relationship, which corresponds well to a logistic relationship. We have made significant advances in both the intuitive and theoretical justification of the use of the logistic function. In the theoretical development of the model utilising advanced non-parametric statistical methods. We have also constructed a method of identifying values that are likely to be erroneous. Using quadratic programming, we can eliminate outliers in diffuse radiation values, the data most prone to errors in measurement. Additionally, this is a first step in identifying the means for developing a generic model for estimating diffuse from global and other predictors (see Boland and Ridley 2007). Our more recent investigations focus on examining the effects of adding additional explanatory variables to enhance the predictability of the model. Examples for Australian and other locations will be presented.
John Boland Barbara Ridley
Centre for Industrial and Applied Mathematics University of South Australia Mawson Lakes Blvd, Mawson Lakes South Australia, 5095
国际会议
2007世界太阳能大会(Proceedings of ISES Solar World Congress 2007)
北京
英文
2007-09-18（万方平台首次上网日期，不代表论文的发表时间）