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

• Published in: Resources policy 2019-10, Vol.63, p.101470, Article 101470
• Main Authors: Xu, Xiaofeng, Wei, Zhifei, Ji, Qiang, Wang, Chenglong, Gao, Guowei
• Format: Article
• Language: English
• Subjects: Autoregressive models; Classification; Development countermeasure; Economic analysis; Economic forecasting; Economic models; Energy development; Energy policy; Forecasting; Forecasting model; Neural networks; News; Prospects; Regression analysis; Renewable energy; Renewable resources; Statistical analysis; Support vector machines; Trend analysis
• ISSN: 0301-4207; 1873-7641
• DOI: 10.1016/j.resourpol.2019.101470

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. •The worldwide status of renewable energy is studied from political, technical, economic and social perspectives.•An integration forecasting model is proposed combining ARIMA, NNM with SVM.•The development prospects of renewable resources by one-way regression is predicted in various regions.•Corresponding countermeasures are proposed for the global seven regions.