کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10126884 | 1645006 | 2018 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Operation planning method for home air-conditioners considering characteristics of installation environment
ترجمه فارسی عنوان
روش برنامه ریزی عملیاتی برای تهویه مطبوع خانه با توجه به ویژگی های محیط نصب و راه اندازی
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کلمات کلیدی
Home Energy Management System (HEMS)Operation planning - برنامه ریزی عملیاتیParticle swarm optimization (PSO) - بهینه سازی ذرات ذرات (PSO)Smart house - خانه هوشمندSupport vector regression (SVR) - رگرسیون بردار پشتیبانی (SVR)Predicted Mean Vote (PMV) - میانگین پیش بینی میانگین (PMV)Machine learning - یادگیری ماشین
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Home energy management systems (HEMSs) are the system to manage the energy usage in houses. The use of HEMSs, and especially those which are capable of automatically controlling home energy appliances such as air-conditioners (ACs), is expected to manage energy utilized in domestic field effectively. In the present study, we focused on automatic AC operation by HEMS with the combined goal of improving thermal comfort while reducing electricity costs. In general, the room temperature and electricity consumption of an AC are highly dependent on the characteristics of the installation environment, so that the derivation of an appropriate AC operation plan is generally a difficult task. To tackle this problem, an energy management method to provide AC operation plan tailor-made for the target AC installation environmental by learning the characteristics of the installation environment (CIE) from the historical operation result data is proposed. The efficacy of the proposed method is verified via numerical and real-world experiments.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 177, 15 October 2018, Pages 351-362
Journal: Energy and Buildings - Volume 177, 15 October 2018, Pages 351-362
نویسندگان
Ryoichi Kuroha, Yu Fujimoto, Wataru Hirohashi, Yoshiharu Amano, Shin-ichi Tanabe, Yasuhiro Hayashi,