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CO2 Concentration and Occupancy Detection of Educational Buildings for Energy Efficiency Purposes: An Experimental Analysis

机译：用于能效的教育建筑的CO2浓度和占用检测：实验分析

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Alessandro Franco; Francesco Leccese;
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年度 2019
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1. CO2 based occupancy detection algorithm: Experimental analysis and validation for office and residential buildings [J] . Cali Davide, Matthes Peter, Huchtemann Kristian, Building and Environment . 2015,第apra期

机译：基于CO2的占用检测算法：办公楼和住宅楼的实验分析和验证
2. Experimental assessment of room occupancy patterns in an office building. Comparison of different approaches based on CO2 concentrations and computer power consumption [J] . Diaz J. A., Jimenez M. J. Applied Energy . 2017,第AUGa1期

机译：办公大楼中房间占用模式的实验评估。根据二氧化碳浓度和计算机功耗比较不同方法
3. Performance characteristics of low concentrations of CuO/water nanofluids flowing through horizontal tube for energy efficiency purposes; an experimental study and ANN modeling [J] . Abdollahi-Moghaddam Mohammad, Motahari Kazem, Rezaei Ali Journal of Molecular Liquids . 2018,第期

机译：流过水平管流动的CuO /水纳米流体低浓度的性能特征，以实现能效目的; 实验研究与ANN建模
4. Anomaly Detection in IoT-Based PIR Occupancy Sensors to Improve Building Energy Efficiency [C] . Ehsan Samani, Parviz Khaledian, Armin Aligholian, IEEE Power and Energy Society Innovative Smart Grid Technologies Conference . 2020

机译：基于IoT的PIR占用传感器中的异常检测可提高建筑物的能效
5. Building up energy efficiency: an analysis of the relationship between energy efficiency building codes and electricity consumption in the U.S. residential sector. [D] . Murray, Susan. 2014

机译：提高能源效率：分析美国住宅部门的能效建筑规范与用电量之间的关系。
6. Reply to Comment on Pietrapertosa et al. How to Prioritize Energy Efficiency Intervention in Municipal Public Buildings to Decrease CO2 Emissions? A Case Study from Italy. Int. J. Environ. Res. Public Health2020 17 4434 [O] . Filomena Pietrapertosa, Marco Tancredi, Michele Giordano, 2021

机译：回复Pietrapertosa等。如何优先考虑市政公共建筑能源效率干预减少二氧化碳排放量？意大利案例研究。 int。 J. Environ。 res。公共卫生2020174434
7. Anomaly Detection in IoT-Based PIR Occupancy Sensors to Improve Building Energy Efficiency [O] . Ehsan Samani, Parviz Khaledian, Armin Aligholian, 2020

机译：基于IOT的PIR占用传感器的异常检测，提高建筑能效

CO2 Concentration and Occupancy Detection of Educational Buildings for Energy Efficiency Purposes: An Experimental Analysis

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