Corrigendum to “Combined forecasting models for wind energy forecasting: A case study in China” [Renew. Sustain. Energy Rev. 44 (2015) 271–288](S1364032114010648)(10.1016/j.rser.2014.12.012);Combined forecasting models for wind energy forecasting: A case study in China

Renewable and Sustainable Energy Reviews

Volumn 44, Issue , 2015, Pages 271-288

  Xiao, Ling ^a   Wang, Jianzhou ^b   Dong, Yao ^a   Wu, Jie ^a  

^a LANZHOU UNIVERSITY   (China)

^b DONGBEI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

Artificial intelligence algorithm; Combined approach; No negative constraint theory; Review; Wind speed forecasting

Indexed keywords

ARTIFICIAL INTELLIGENCE; ENERGY POLICY; ENERGY UTILIZATION; FORECASTING; SPEED; WIND SPEED; WIND TURBINES;

ARTIFICIAL INTELLIGENCE ALGORITHMS; COMBINATION MODELS; COMBINED APPROACH; COMBINED FORECASTING; COMBINED MODELING; CONSTRAINTS THEORY; ENERGY FORECASTING; NEGATIVE CONSTRAINTS; NO NEGATIVE CONSTRAINT THEORY; WIND SPEED FORECASTING;

WIND POWER;

EID: 84922796172     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2017.01.149     Document Type: Erratum

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