作者: Sung-Yoon Huh , Chul-Yong Lee
DOI: 10.1016/J.ENPOL.2014.02.028
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摘要: Renewable energy technologies (RETs) have attracted significant public attention for several reasons, the most important being that they are clean alternative sources help reduce greenhouse gas emissions. To increase probability RETs will be successful, it is essential to uncertainty about its adoption with accurate long-term demand forecasting. This study develops a diffusion model incorporates effect of competitive interrelationships among renewable forecast growth pattern five RETs: solar photovoltaic, wind power, and fuel cell in electric power sector, thermal geothermal heating sector. The 2-step forecasting procedure based on Bayus, (1993. Manage. Sci. 39, 11, 1319–1333) price function suggested by Hahn et al. (1994. Marketing 13, 3, 224–247). In an empirical analysis, applied South Korean market.