Important variable assessment and electricity price forecasting based on regression tree models: Classification and regression trees, Bagging and Random Forests

IET Generation, Transmission and Distribution

Volumn 9, Issue 11, 2015, Pages 1120-1128

  González, Camino ^a   Mira McWilliams, José ^a   Juárez, Isabel ^b  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b EON Kernkraft GmbH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; DEREGULATION; FORECASTING; PREDICTIVE ANALYTICS; RANDOM FORESTS; WIND POWER;

CLASSIFICATION AND REGRESSION TREE; DEREGULATED ENERGY MARKET; ELECTRICITY PRICE FORECASTING; EXPLANATORY VARIABLES; REGRESSION TREE MODELS; STRATEGIC INTEREST; THERMAL GENERATION; WIND ENERGY PRODUCTION;

POWER MARKETS;

EID: 84938591672     PISSN: 17518687     EISSN: 17518695     Source Type: Journal    
DOI: 10.1049/iet-gtd.2014.0655     Document Type: Article

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