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Integrated Method for Personal Thermal Comfort Assessment and Optimization through Users’ Feedback, IoT and Machine Learning: A Case Study †

机译：通过用户反馈，物联网和机器学习的个人热舒适评估和优化的集成方法：案例研究†

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Francesco Salamone; Lorenzo Belussi; Cristian Currò; Ludovico Danza; Matteo Ghellere; Giulia Guazzi; Bruno Lenzi; Valentino Megale; Italo Meroni;
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1. A Machine Learning approach for personal thermal comfort perception evaluation: experimental campaign under real and virtual scenarios [J] . Francesco Salamone, Alice Bellazzi, Lorenzo Belussi, E3S Web of Conferences . 2020,第10期

机译：个人热舒适感觉评估的机器学习方法：实验运动下的实验和虚拟情景
2. Machine learning algorithms applied to a prediction of personal overall thermal comfort using skin temperatures and occupants' heating behavior [J] . Applied Ergonomics . 2020,第期

机译：机器学习算法应用于使用皮肤温度和乘员的加热行为对个人总热舒适性的预测
3. Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning [J] . Kim Joyce, Zhou Yuxun, Schiavon Stefano, Building and Environment . 2018,第feba期

机译：个人舒适度模型：通过乘员的加热和冷却行为以及机器学习预测个人的热偏好
4. THE PERSONAL ASSESSMENT TOOL: A SYSTEM LEARNING COMMUNITIES OF USERS OF SHARED PRINTERS FOR PROVIDING ENVIRONMENTAL FEEDBACK [C] . Antonietta Grasso, Jutta Willamowski, Victor Ciriza, International Conference on Machine Learning and Applications . 2010

机译：个人评估工具：用于提供环境反馈的共享打印机用户的系统学习社区
5. Using occupant feedback in model predictive control for indoor thermal comfort and energy optimization. [D] . Chen, Xiao. 2015

机译：在模型预测控制中使用乘员反馈，以实现室内热舒适性和能源优化。
6. Integrated Method for Personal Thermal Comfort Assessment and Optimization through Users’ Feedback IoT and Machine Learning: A Case Study [O] . Francesco Salamone, Lorenzo Belussi, Cristian Currò, 2018

机译：通过用户反馈物联网和机器学习进行个人热舒适性评估和优化的集成方法：一个案例研究
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Integrated Method for Personal Thermal Comfort Assessment and Optimization through Users’ Feedback, IoT and Machine Learning: A Case Study †

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