======Technology forecasting of new clean energy: The example of hydrogen energy and fuel cell======
Due to energy shortage, global warming, and climate change, the study focuses on technology forecasting for hydrogen energy and fuel cell technologies. It integrates bibliometric and patent analysis to predict S-curves for various aspects of hydrogen energy technologies.  \\ 
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^  Quick Facts  ^^
|Report location:  |[[https://foresightfordevelopment.org/sobipro/download-file/46-589/54|source]]   |
|Language:  |English  |
|Publisher:  |<WRAP> 
African Journal Of Business Management Vol. 4(7) \\ 
</WRAP>   |
|Authors:  | Chia-yon Chen,  Shun-chung Lee., Yu-heng Chen  |
|Geographic focus:  |Taiwan., Global   |

=====Methods=====
The study uses a growth curve model to analyze the technological performance of hydrogen energy technologies, including generation, storage, PEMFC, SOFC, and DMFC/DAFC. It combines expert surveys, Co-word analysis, and USPTO database data to forecast technology trends.  \\ 
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(Generated with the help of GPT-4) \\

=====Key Insights=====
The research predicts the technological S-curves for hydrogen energy and fuel cell technologies by using growth curve models. It aims to understand the development stages of hydrogen energy technologies and provides insights for future trends in the field.  \\ 
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(Generated with the help of GPT-4) \\ 


=====Additional Viewpoints=====
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<span #categories_box> Categories:  {{tag>English_publication_language}} |  {{tag>Global_geographic_scope}} |  {{tag>Taiwan_geographic_scope}} |  {{tag>bibliometric_analysis}} |  {{tag>fuel_cell}} |  {{tag>hydrogen_energy}} |  {{tag>patent_analysis.}} |  {{tag>s-curves}} |  {{tag>technology_forecasting}}   </span>  


~~DISCUSSION~~