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

Xiaofeng Xu, Zhifei Wei, Qiang Ji, Chenglong Wang and Guowei Gao

Resources Policy, 2019, vol. 63, issue C, -

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.

Keywords: Renewable energy; Trend analysis; Forecasting model; Development countermeasure (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (78)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:63:y:2019:i:c:11

DOI: 10.1016/j.resourpol.2019.101470

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