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Global renewable energy development: Influencing factors, trend predictions and countermeasures

Author

Listed:
  • Xu, Xiaofeng
  • Wei, Zhifei
  • Ji, Qiang
  • Wang, Chenglong
  • Gao, Guowei

Abstract

Promoting the development and utilisation of renewable energy is the current trend of energy policy in various regions. First, we divide the world into seven regions based on the Engineering News-Record (ENR) regional classification—Asia-Pacific, Middle East, Canada, the United States, Latin America, Europe and Africa—and analyse the status of renewable energy from political, technical, economic and social perspectives. Second, an integration forecasting model is proposed, which includes differential autoregressive integrated moving average model (ARIMA), neural network model (NNM), support vector machine model (SVM), and predicts the development prospects of renewable resources by one-way regression in various regions. Finally, corresponding countermeasures are proposed for these seven regions.

Suggested Citation

  • Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
  • Handle: RePEc:eee:jrpoli:v:63:y:2019:i:c:11
    DOI: 10.1016/j.resourpol.2019.101470
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