Forecasting next-day electricity demand and price using nonparametric functional methods

International Journal of Electrical Power and Energy Systems

Volumn 39, Issue 1, 2012, Pages 48-55

  Vilar, Juan M ^a   Cao, Ricardo ^a   Aneiros, Germán ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Demand and price; Electricity markets; Functional data; Time series forecasting

Indexed keywords

ARIMA MODELS; DEMAND AND PRICE; ELECTRIC POWER MARKETS; ELECTRICITY DEMANDS; ELECTRICITY MARKET; ELECTRICITY MARKETS; FUNCTIONAL DATAS; FUNCTIONAL METHODS; NON-PARAMETRIC; NONPARAMETRIC REGRESSION TECHNIQUES; PARTIAL LINEAR MODELS; PREDICTION TASKS; TIME SERIES FORECASTING;

ELECTRICITY;

FORECASTING;

EID: 84858445884     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2012.01.004     Document Type: Article

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