Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India
- Author
- KUMAR, Ujjwal1 ; JAIN, V. K2
[1] Flemish Institute for Technological Research (VITO), Environmental Modelling Unit, Boeretang 200, 2400 Mol, Belgium
[2] School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India - Source
Energy (Oxford). 2010, Vol 35, Num 4, pp 1709-1716, 8 p ; ref : 39 ref
- CODEN
- ENEYDS
- ISSN
- 0360-5442
- Scientific domain
- Energy; Environment
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse spectre singulier Charbon Consommation énergie Electricité Gaz naturel Modèle Markov Modélisation Méthodologie Prévision Pétrole Système gris Série temporelle Inde Asie
- Keyword (en)
- Singular spectrum analysis Coal Energy consumption Electricity Natural gas Markov model Modeling Methodology Forecasting Petroleum Grey system Time series India Asia
- Keyword (es)
- Análisis espectro singular Carbón Consumo energía Electricidad Gas natural Modelo Markov Modelización Metodología Previsión Petróleo Sistema gris Serie temporal India 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 / 001D06A01C1 General
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 22629450
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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DOI
10.1016/j.energy.2009.12.021 
https://dx.doi.org/10.1016/j.energy.2009.12.021
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