A review on applications of ANN and SVM for building electrical energy consumption forecasting
- Author
- AHMAD, A. S1 ; HASSAN, M. Y1 ; ABDULLAH, M. P1 ; RAHMAN, H. A1 ; HUSSIN, F1 ; ABDULLAH, H1 ; SAIDUR, R2
[1] Centre of Electrical Energy Systems (CEES), Faculty of Electrical Engineering, University Technology of Malaysia (UTM), 81310 Skudai, Johor, Malaysia
[2] Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia - Source
Renewable & sustainable energy review. 2014, Vol 33, pp 102-109, 8 p ; ref : 75 ref
- ISSN
- 1364-0321
- Scientific domain
- Energy; Environment
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Artificial Neural Networks Building energy consumption Forecasting GMDH LSSVM
- Keyword (fr)
- Bâtiment Consommation électricité Consommation énergie Intelligence artificielle Machine vecteur support Modèle hybride Prévision Réseau neuronal
- Keyword (en)
- Buildings Electric power consumption Energy consumption Artificial intelligence Support vector machine Hybrid model Forecasting Neural network
- Keyword (es)
- Edificio Consumo electricidad Consumo energía Inteligencia artificial Máquina vector soporte Modelo híbrido Previsión Red neuronal
- 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
- 28384288
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.rser.2014.01.069 
https://dx.doi.org/10.1016/j.rser.2014.01.069
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