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A Computer Vision-Based Occupancy and Equipment Usage Detection Approach for Reducing Building Energy Demand

机译：基于计算机视觉的占用和设备使用检测方法，用于降低建筑能源需求

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Paige Wenbin Tien; Shuangyu Wei; John Calautit;
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年度 2020
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1. The impact of deep learning-based equipment usage detection on building energy demand estimation [J] . Shuangyu Wei, Paige Wenbin Tien, Yupeng Wu, Building Services Engineering Research & Technology . 2021,第5期

机译：深度学习的设备使用检测对建筑能源需求估算的影响
2. A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions [J] . Tien Paige Wenbin, Wei Shuangyu, Calautit John Kaiser, Energy and Buildings . 2020,第Nova期

机译：一种基于视觉的深度学习方法，用于检测和预测需求驱动控制解决方案的占用热排放
3. Determining the optimal occupancy density for reducing the energy consumption of public office buildings: A statistical approach [J] . Kang Hyuna, Lee Minhyun, Hong Taehoon, Building and Environment . 2018,第jana期

机译：确定减少办公楼能耗的最佳占用密度：一种统计方法
4. A Framework for Delivering Targeted Occupancy Interventions to Reduce Energy Usage in Buildings [C] . Aslihan KARATAS, Carol C. MENASSA, Allisandra Stoiko International Conference on Sustainable Design, Engineering and Construction . 2015

机译：提供目标占用干预框架，以减少建筑物中的能源用途
5. Using Occupancy to Reduce Energy Consumption of Buildings. [D] . Balaji, Bharathan. 2011

机译：利用占用减少建筑物的能源消耗。
6. Entropy-Based Metrics for Occupancy Detection Using Energy Demand [O] . Denis Hock, Martin Kappes, Bogdan Ghita 2020

机译：基于熵的度量用于使用能源需求的占用检测
7. A Framework for Delivering Targeted Occupancy Interventions to Reduce Energy Usage in Buildings [O] . Karatas Aslihan, Menassa Carol C., Stoiko Allisandra 2015

机译：提供有针对性的占用干预措施以减少建筑物能耗的框架

A Computer Vision-Based Occupancy and Equipment Usage Detection Approach for Reducing Building Energy Demand

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