Prediction of daily maximum temperature using a support vector regression algorithm

Daily maximum temperature can be used a good indicator of peak energy consumption, since it can be used to predict the massive use of heating or air conditioning systems. Thus, the prediction of daily maximum temperature is an important problem with interesting applications in the energy field, sinc...

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Veröffentlicht in:	Renewable energy Jg. 36; H. 11; S. 3054 - 3060
Hauptverfasser:	Paniagua-Tineo, A., Salcedo-Sanz, S., Casanova-Mateo, C., Ortiz-García, E.G., Cony, M.A., Hernández-Martín, E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.11.2011 Elsevier
Schlagworte:	air conditioning Algorithms Applied sciences atmospheric pressure Daily maximum temperature prediction electricity Energy Europe Exact sciences and technology heat Heating Mathematical analysis Neural networks prediction Regression Relative humidity Stations Support vector regression algorithms temperature Vectors (mathematics) Europe Support vector regression algorithms Daily maximum temperature prediction Neural networks
ISSN:	0960-1481, 1879-0682
Online-Zugang:	Volltext
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