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Forecasting accuracy of wind power technology diffusion models across countries

机译:预测各国风力发电技术扩散模型的准确性

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摘要

Wind power technology is analyzed in terms of diffusion, with incentive effects introduced as exogenous dynamics in the Generalized Bass Model (GBM) framework. Estimates and short-term forecasts of the life-cycles of wind power are provided for the US and Europe, as they have similar geographic areas, as well as for some leading European countries. GBMs have the best performance in model selection, and are ranked first in terms of forecast accuracy over a set of different accuracy measures and forecasting horizons, relative to the Standard Bass, Logistic, and Gompertz models.
机译:从扩散角度分析了风力发电技术,并在广义低音模型(GBM)框架中将激励效应作为外生动力引入。由于美国和欧洲具有相似的地理区域以及一些主要的欧洲国家,因此对美国和欧洲的风能寿命周期进行了估算和短期预测。 GBM在模型选择方面表现最佳,相对于标准低音,逻辑和Gompertz模型,GBM在一组不同的准确性度量和预测范围内的预测准确性方面排名第一。

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