Research on the influence factors of ubiquitous power Internet of things for promoting consumption of wind power based on fuzzy G1-ISM in China.

• Two novel concepts of UPIoTs and non-grid-connected wind power are explored in China. • ISM is improved with G1 method to overcome the shortcomings of traditional method. • 26 influence factors about how UPIoTs has impacts on wind power are identified. • The relationship between identified factors is researched by proposed model. • Suggestions about how to promote the consumption of wind power are proposed. In the last decade, the scale and speed of development for wind power in China presented an explosive growth and has been maintaining a leading position worldwide. However, rapid development, with addition of the nature of clean energy itself, is followed by the problem of energy consumption such as wind curtailment. To improve the energy efficiency, a new pattern of wind power generation, namely the non-grid-connected wind power, is gradually accessible to the public. At the same time, proposes a novel concept of ubiquitous power Internet of things (UPIoTs) to improve the energy-using environment and quality. In the context of above proposal, to research how UPIoTs promotes the consumption of wind power especially has become a crucial task. The purpose of this paper is to identify influence factors through literature review and expert interview on the basis of relationship between the referenced two. During the process of exploring effects among factors, the improved interpretative structural modeling (ISM) coupled with fuzzy order relation analysis method (fuzzy G1 method) is constructed and adopted to make up for the shortcomings of traditional method. According to the results, three factors are considered as the most influential and some suggestions are given from these three aspects, aiming at making a contribution to the solutions in theory and in practice. [ABSTRACT FROM AUTHOR]