G2TT
来源类型Monograph (IIASA Interim Report)
规范类型报告
Forecasting Technology Costs via the Learning Curve - Myth or Magic?
Alberth S
发表日期2006
出版者IIASA, Laxenburg, Austria: IR-06-058
出版年2006
语种英语
摘要To further our understanding of the effectiveness of learning or experience curves to forecast technology costs, a statistical analysis using historical data has been carried out. Three hypotheses have been tested using available data sets that together shed light on the ability of experience curves to forecast future technology costs. The results indicate that the Single Factor Learning Curve is a highly effective estimator of future costs with little bias when errors were viewed in their log format. However it was also found that due to the convexity of the log curve an overestimation of potential cost reductions arises when the results were considered in monetary units. Furthermore the effectiveness of increasing weights for more recent data was tested using Weighted Least Squares with exponentially increasing weights. This resulted in forecasts that were typically less biased than when using Ordinary Least Square and highlighted the potential benefits of this method.
主题Integrated Modeling Environment (IME) ; Young Scientists Summer Program (YSSP)
URLhttp://pure.iiasa.ac.at/id/eprint/8041/
来源智库International Institute for Applied Systems Analysis (Austria)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/125500
推荐引用方式
GB/T 7714
Alberth S. Forecasting Technology Costs via the Learning Curve - Myth or Magic?. 2006.
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