Abstract
Renewable energy with high resource potential and less environmental pollution are receiving more and more attention. Wind power is a relatively mature energy source in renewable energy. As the internal and external uncertainty of the wind power industry chain are various and complex, it is urgent to clarify the uncertainty and relationship. Through big data technique, main uncertainty impacted on the development of the wind power industry chain is identified. And an interpretative structural model is established to analyze the hierarchy structure to the uncertainty. The results can provide valuable reference to identify and solve the key problems in the development roadmap of wind power industry, as well as to make scientific decision.
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