محبوبترین نویسندگان :
نویسندگان مقالات پربازدید :
ساختمان و محیط زیست
جزئیات رویداد
همایش ، رویداد ، ژورنال
اینستاگرام تی پی بین
حوزه های تحت پوشش رویداد

  • an intelligent approach to assessing the effect of building occupancy on building cooling load prediction

    نویسندگان :
    کلمات کلیدی :
    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1390/01/01
    • تاریخ انتشار در تی پی بین: 1390/01/01
    • تعداد بازدید: 629
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     building cooling load prediction is one of the key factors in the success of energy-saving measures. many computational models available in the industry have been developed from either forward or inverse modeling approaches. however, these models usually require extensive computer resources and lengthy computation. this paper discusses the use of the multi-layer perceptron (mlp) model, one of the artificial neural network (ann) models widely adopted in engineering applications, to estimate the cooling load of a building. the training samples used include weather data obtained from the hong kong observatory and building-related data acquired from an existing prestigious commercial building in hong kong that houses a mega complex and operates 24 h a day. the paper also discusses the practical difficulties encountered in acquiring building-related data. in contrast to other studies that use ann models to predict building cooling load, this paper includes the building occupancy rate as one of the input parameters used to determine building cooling load. the results demonstrate that the building occupancy rate plays a critical role in building cooling load prediction and significantly improves predictive accuracy.

سوال خود را در مورد این مقاله مطرح نمایید :

با انتخاب دکمه ثبت پرسش، موافقت خود را با قوانین انتشار محتوا در وبسایت تی پی بین اعلام می کنم
مقالات جدیدترین رویدادها
مقالات جدیدترین ژورنال ها