Short-term electricity price forecast based on the improved hybrid model

Energy Conversion and Management

Volumn 52, Issue 8-9, 2011, Pages 2987-2995

  Dong, Yao ^a   Wang, Jianzhou ^a   Jiang, He ^a   Wu, Jie ^a  

^a LANZHOU UNIVERSITY   (China)

Author keywords

Electricity price; Empirical mode decomposition; Seasonal adjustment

Indexed keywords

AUSTRALIA; AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODELS; BIDDING STRATEGY; ELECTRICITY MARKET; ELECTRICITY PRICES; EMPIRICAL MODE DECOMPOSITION; EVOLUTION PROCESS; FORECASTING MODELS; HIGH VOLATILITY; HYBRID MODEL; NEW SOUTH WALES; POWER SYSTEMS; PREDICTION ACCURACY; PREDICTION ERRORS; SEASONAL ADJUSTMENTS; SEASONALITY;

COSTS; ELECTRIC LOAD FORECASTING; FORECASTING;

ELECTRICITY;

EID: 79955740028     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2011.04.020     Document Type: Article

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