Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques
- Author
- CHENG FAN1 ; FU XIAO1 ; SHENGWEI WANG1
[1] Department of Building Services Engineering, The Hong Kong Polytechnic University, Kowloon, Hong-Kong - Source
Applied energy. 2014, Vol 127, pp 1-10, 10 p ; ref : 32 ref
- CODEN
- APENDX
- ISSN
- 0306-2619
- Scientific domain
- Energy; Environment
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Building energy prediction Clustering analysis Data mining Ensemble model Feature extraction Recursive feature elimination
- Keyword (fr)
- Bâtiment Consommation énergie Extraction caractéristique Modèle Modélisation
- Keyword (en)
- Buildings Energy consumption Feature extraction Models Modeling
- Keyword (es)
- Edificio Consumo energía Modelo Modelización
- Classification
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28516824
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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