User: Guest  Login
Title:

Deep learning for predictive window operation modeling in open-plan offices

Document type:
Zeitschriftenaufsatz
Author(s):
Banihashemi, F.; Weber, M.; Lang, W.
Abstract:
This study explores how the past, both short and long-term, affects the predictive window operation modeling in open-plan offices. To achieve this, the study proposes a deep learning method that uses long short-term memory (LSTM) artificial neural networks. The proposed model is an ensemble of LSTM networks that utilize relevant indoor environmental data from multiple sensory systems and weather data from a nearby weather station to predict the window state with different predictive horizons. Th...     »
Keywords:
NuData_Campus
Journal title:
Energy and Buildings
Year:
2024
Journal volume:
310
Pages contribution:
114109
Fulltext / DOI:
doi:10.1016/j.enbuild.2024.114109
Publisher:
Elsevier BV
E-ISSN:
0378-7788
Date of publication:
01.05.2024
 BibTeX