Modeling and forecasting building energy consumption: A review of data-driven techniques
Shanghai Jiao Tong University · UniLaSalle Amiens (ESIEE-Amiens) · +3 more institutions
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Abstract
No abstract available for this paper.
Citation impact
753
total citations
- FWCI
- 58.50
- Percentile
- 100%
- References
- 167
Citations per year
Authors
5- MBMathieu Bourdeau
Shanghai Jiao Tong University
- XQXiao qiang ZhaiCorresponding
Shanghai Jiao Tong University
- ENElyes Nefzaoui
UniLaSalle Amiens (ESIEE-Amiens), Laboratoire d'électronique, systèmes de communication et microsystèmes, Université Gustave Eiffel, Conservatoire National des Arts et Métiers
- XGXiaofeng Guo
Université Gustave Eiffel, UniLaSalle Amiens (ESIEE-Amiens)
- PCPatrice Chatellier
Topics & keywords
Topics
Keywords
- Energy consumption
- Context (archaeology)
- Computer science
- Energy modeling
- Key (lock)
- Data science
- Consumption (sociology)
- Efficient energy use
UN Sustainable Development Goals
- Affordable and clean energy
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