Probabilistic Forecasting Method of Metro Station Environment Based on Autoregressive LSTM Network
المؤلفون المشاركون
Liping, Pang
Li, Bo
Qu, Hongquan
Zhao, Weihang
Han, Yue
Tian, Qing
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-12
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
With the increasing number of metros, the comfort and safety of crew and passengers in metro stations have been paid great attention.
The environment forecasting has become very important for decision-making.
The outputs of the traditional point prediction methods are some exact values in the future.
However, it might be closer to the real conditions that the predicted variables are given a probability range with a different confidence rather than exact values.
This paper proposes a probabilistic forecasting method of metro station environment based on autoregressive Long Short Term Memory (LSTM) network.
It has a good performance to quantify the uncertainty of environment trend in a metro station.
Seven-day field tests were carried out to obtain the measured data of 7 internal environmental parameters in a metro station and 8 external environment parameters.
In order to ensure the prediction performance, the random forest algorithm is used to select the input variables for the proposed probabilistic forecasting method.
The selected input variables and the previous predicted values are as the input variables to build the probabilistic forecasting model.
The proposed method can realize to predict the probabilistic distribution of internal environmental parameters in a metro station.
This work may contribute to prevent emergency events and regulate environment control system reasonably.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tian, Qing& Li, Bo& Qu, Hongquan& Liping, Pang& Zhao, Weihang& Han, Yue. 2020. Probabilistic Forecasting Method of Metro Station Environment Based on Autoregressive LSTM Network. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1194077
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tian, Qing…[et al.]. Probabilistic Forecasting Method of Metro Station Environment Based on Autoregressive LSTM Network. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1194077
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tian, Qing& Li, Bo& Qu, Hongquan& Liping, Pang& Zhao, Weihang& Han, Yue. Probabilistic Forecasting Method of Metro Station Environment Based on Autoregressive LSTM Network. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1194077
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1194077
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر