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A trend fixed on firstly and seasonal adjustment model combined with the ε-SVR for short-term forecasting of electricity demand

Author
JIANZHOU WANG1 ; WENJIN ZHU1 ; WENYU ZHANG2 ; DONGHUAI SUN3
[1] School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China
[2] College of Atmospheric Sciences; Lanzhou University, Lanzhou 730000, China
[3] Key Laboratory of Western Chinas Environmental Systems (Ministry of Education) College of Earth and Environment Sciences, Lanzhou University, Lanzhou 730000, China
Source

Energy policy. 2009, Vol 37, Num 11, pp 4901-4909, 9 p ; ref : 3/4 p

CODEN
ENPYAC
ISSN
0301-4215
Scientific domain
Energy; Environment
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Seasonal adjustment Trend fixed on firstly ε-SVR
Keyword (fr)
Analyse tendance Demande Economie énergie Electricité Etude cas Long terme Méthodologie Prévision Variation saisonnière Chine Asie
Keyword (en)
Trend analysis Demand Energy economy Electricity Case study Long term Methodology Forecasting Seasonal variation China Asia
Keyword (es)
Análisis tendencia Petición Economía energía Electricidad Estudio caso Largo plazo Metodología Previsión Variación estacional China Asia
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06A General, economic and professional studies / 001D06A01 Energy economics / 001D06A01A Methodology. Modelling

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06A General, economic and professional studies / 001D06A01 Energy economics / 001D06A01C Economic data / 001D06A01C4 Electric energy

Discipline
Energy
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
22104115

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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