Short-term wind speed forecasting with Markov-switching model

Applied Energy

Volumn 130, Issue , 2014, Pages 103-112

  Song, Zhe ^a   Jiang, Yu ^a   Zhang, Zijun ^b  

^a NANJING UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Forecasting; Markov chain; Regime switching; Time series; Wind power

Indexed keywords

BAYESIAN NETWORKS; INFERENCE ENGINES; MARKOV PROCESSES; MAXIMUM LIKELIHOOD ESTIMATION; NEURAL NETWORKS; SWITCHING; TIME SERIES; WIND; WIND POWER;

AUTO REGRESSIVE MODELS; BAYESIAN STRUCTURAL BREAK MODELS; FORECASTING PERFORMANCE; NEURAL NETWORKS MODEL; REGIME SWITCHING; REGIME-SWITCHING PROCESS; SHORT-TERM WIND SPEED FORECASTING; WIND SPEED FORECASTING;

FORECASTING;

BAYESIAN ANALYSIS; CLIMATE MODELING; MAXIMUM LIKELIHOOD ANALYSIS; NONLINEARITY; REGRESSION ANALYSIS; WEATHER FORECASTING; WIND VELOCITY;

EID: 84901926562     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.05.026     Document Type: Article

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