Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques
Hong Kong Polytechnic University
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557
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- FWCI
- 17.46
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- 100%
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3Topics & keywords
Topics
Keywords
- Cluster analysis
- Outlier
- Mean absolute percentage error
- Computer science
- Data mining
- Energy consumption
- Feature selection
- Anomaly detection
UN Sustainable Development Goals
- Affordable and clean energy
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