Price forecasting in the day-ahead energy market by an iterative method with separate normal price and price spike frameworks

Energies

Volumn 6, Issue 11, 2013, Pages 5897-5920

  Voronin, Sergey ^a   Partanen, Jarmo ^a  

^a LAPPEENRANTA UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Compound classifier; Electricity price forecasts; Hybrid methodology; Input feature selection; Price spike forecasts

Indexed keywords

COMMERCE; COSTS; FORECASTING; ITERATIVE METHODS; MATHEMATICAL TRANSFORMATIONS; POWER QUALITY; WAVELET TRANSFORMS;

AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; CLASSIFICATION TECHNIQUE; COMPOUND CLASSIFIERS; DAY-AHEAD ENERGY MARKETS; ELECTRICITY PRICES; HYBRID METHODOLOGIES; NONLINEAR NEURAL NETWORKS; PRICE SPIKE;

POWER MARKETS;

EID: 84894632834     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en6115897     Document Type: Article

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