Multistep Forecasting for Short-Term Wind Speed Using an Optimized Extreme Learning Machine Network with Decomposition-Based Signal Filtering

Journal of Energy Engineering

Volumn 142, Issue 3, 2016, Pages

  Zhao, Jing ^a   Wang, Jianzhou ^b   Liu, Feng ^a  

^a LANZHOU UNIVERSITY   (China)

^b DONGBEI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

Cuckoo search; Ensemble empirical model decomposition; Extreme learning machine; Hybrid forecasting method; Multi step strategy

Indexed keywords

ELECTRIC LOAD DISPATCHING; FORECASTING; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; OPTIMIZATION; SIGNAL FILTERING AND PREDICTION; SIGNAL PROCESSING; SPEED; WIND; WIND POWER;

CUCKOO SEARCHES; EMPIRICAL MODEL DECOMPOSITION; EXTREME LEARNING MACHINE; HYBRID FORECASTING; MULTI-STEP;

LEARNING SYSTEMS;

EID: 84983063551     PISSN: 07339402     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)EY.1943-7897.0000291     Document Type: Article

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