LAUSR

Abstract We argue that the applications of artificial intelligence (AI) algorithms in wind power technology changes over time, and that AI accelerates the automation of wind power systems. This study finds evidence of the evolution of wind technology innovation in accordance with the changes in AI algorithms in the patents issued in four intellectual property (IP) offices from 1980 through 2017. Wind power systems are complex structures, and wind power technologies are becoming more complicated. It is challenging to maximize wind power generation and to optimize the operation and maintenance of wind turbines. Artificial intelligence and more advanced data analytics can be effective methods to increase the efficiency of a wind power system and to optimize problems. This study empirically analyzes the evolution of applications of AI algorithms in wind power technology by employing machine learning-based text mining and network analysis, demonstrating the dynamic changing pattern of applications of AI algorithms in wind power technology.