کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6774985 1432007 2018 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Can HVAC really learn from users? A simulation-based study on the effectiveness of voting for comfort and energy use optimization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Can HVAC really learn from users? A simulation-based study on the effectiveness of voting for comfort and energy use optimization
چکیده انگلیسی
A prototype solution is described and evaluated by simulation. We show that ambient intelligent systems can be used to control a building's EMS, effectively reducing energy consumption while maintaining acceptable comfort levels. Our results indicate that employing a k-means machine learning technique enables the automatic configuration of an HVAC system to reduce energy consumption while keeping the majority of occupants within acceptable comfort levels. The developed prototype provides occupants with feedback on ambient variables on a mobile user interface. © 2017 Elsevier Science. All rights reserved.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sustainable Cities and Society - Volume 41, August 2018, Pages 275-285
نویسندگان
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