Current status of wind energy forecasting and a hybrid method for hourly predictions

Energy Conversion and Management

Volumn 123, Issue , 2016, Pages 362-371

  Okumus, Inci ^a   Dinler, Ali ^b  

^a ZONGULDAK KARAELMAS UNIVERSITY   (Turkey)

^b ISTANBUL MEDENIYET UNIVERSITY   (Turkey)

Author keywords

Wind energy; Wind energy forecasting; Wind power

Indexed keywords

FUZZY INFERENCE; FUZZY SYSTEMS; NEURAL NETWORKS; WEATHER FORECASTING; WIND; WIND EFFECTS; WIND POWER;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ENERGY FORECASTING; ENERGY TRADING; MEAN ABSOLUTE PERCENTAGE ERROR; PREDICTION HORIZON; PREDICTION METHODS; WIND FORECASTING; WIND SPEED FORECAST;

FORECASTING;

EID: 84975869372     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2016.06.053     Document Type: Review

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