Data-driven Modeling for Improved Residential Building Electricity Consumption Prediction and HVAC Efficiency Evaluation
Chapter 1. Introduction; Chapter 2. Residential building energy consumption: A review of energy data availability, characteristics and energy performance prediction methods; Chapter 3. Evaluation of the causes and impact of outliers on residential building energy use prediction using inverse modelin...
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| Autor principal: | |
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| Idioma: | eng |
| Publicado em: |
Iowa State University
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| Acesso em linha: | https://dlib.udn.vn/module/chi-tiet-sach?RecordID=2861 |
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| Thư viện lưu trữ: | Trung tâm Công nghệ thông tin và Học liệu số, Đại học Đà Nẵng |
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| Resumo: | Chapter 1. Introduction; Chapter 2. Residential building energy consumption: A review of energy data availability, characteristics and energy performance prediction methods; Chapter 3. Evaluation of the causes and impact of outliers on residential building energy use prediction using inverse modeling; ... |
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