Models for forecasting growth trends in renewable energy

Renewable and Sustainable Energy Reviews

Volumn 77, Issue , 2017, Pages 1169-1178

  Tsai, Sang Bing ^a,b   Xue, Youzhi ^b,c   Zhang, Jianyu ^d   Chen, Quan ^a   Liu, Yubin ^d   Zhou, Jie ^b   Dong, Weiwei ^e  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b NANKAI UNIVERSITY   (China)

^c NANKAI UNIVERSITY   (China)

^d TIANJIN UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^e SHANGHAI INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Forecasting; Green energy; Grey system theory; Modified grey models; Renewable energy; Renewable Energy Law

Indexed keywords

BIG DATA; ENERGY UTILIZATION; ERRORS; MEAN SQUARE ERROR; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; SYSTEM THEORY;

FORECAST ACCURACY; GRAY MODEL; GRAY SYSTEM THEORY; GREEN ENERGY; GREY PREDICTION MODEL; GREY VERHULST MODEL; GROWTH TRENDS; MODIFIED GRAY MODEL; RENEWABLE ENERGIES; RENEWABLE ENERGY LAW;

FORECASTING;

EID: 85003721922     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2016.06.001     Document Type: Article

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